publications

2025

1. CheXwhatsApp: A Dataset for Exploring Challenges in the Diagnosis of Chest X-rays through Mobile Devices

   Mariamma Antony, Rajiv Porana, Sahil M. Lathiya, and 2 more authors

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025, 2025

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2. LevAttention: Time, Space and Streaming Efficient Algorithm for Heavy Attentions

   Ravindran Kannan, Chiranjib Bhattacharyya, Praneeth Kacham, and 1 more author

   In The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025
3. DO-EM: Density Operator Expectation Maximization

   Adit Vishnu, Abhay Shastry, Dhruva Kashyap, and 1 more author

   CoRR, 2025

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4. When Routers, Switches and Interconnects Compute: A processing-in-interconnect Paradigm for Scalable Neuromorphic AI

   Madhuvanthi Srivatsav R, Chiranjib Bhattacharyya, Shantanu Chakrabartty, and 1 more author

   CoRR, 2025

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2024

1. LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields

   Chaitanya Murti, Dhruva Kashyap, and Chiranjib Bhattacharyya

   In International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain, 2024
2. Random Separating Hyperplane Theorem and Learning Polytopes

   Chiranjib Bhattacharyya, Ravindran Kannan, and Amit Kumar

   In 51st International Colloquium on Automata, Languages, and Programming, ICALP 2024, July 8-12, 2024, Tallinn, Estonia, 2024

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3. DisCEdit: Model Editing by Identifying Discriminative Components

   Chaitanya Murti and Chiranjib Bhattacharyya

   In Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024
4. Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms

   Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya, and 2 more authors

   In Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024
5. Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms

   Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya, and 2 more authors

   CoRR, 2024

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6. LevAttention: Time, Space, and Streaming Efficient Algorithm for Heavy Attentions

   Ravindran Kannan, Chiranjib Bhattacharyya, Praneeth Kacham, and 1 more author

   CoRR, 2024

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2023

1. TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning

   Chaitanya Murti, Tanay Narshana, and Chiranjib Bhattacharyya

   In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023
2. DFPC: Data flow driven pruning of coupled channels without data

   Tanay Narshana, Chaitanya Murti, and Chiranjib Bhattacharyya

   In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023
3. Deep Recurrent Optimal Stopping

   Niranjan Damera Venkata and Chiranjib Bhattacharyya

   In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023
4. Random Separating Hyperplane Theorem and Learning Polytopes

   Chiranjib Bhattacharyya, Ravindran Kannan, and Amit Kumar

   CoRR, 2023

   DOI

2022

1. Analysis of Knowledge Transfer in Kernel Regime

   Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, and 2 more authors

   In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, 2022

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2. When to Intervene: Learning Optimal Intervention Policies for Critical Events

   Niranjan Damera Venkata and Chiranjib Bhattacharyya

   In Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022
3. How many Clusters? - An algorithmic answer

   Chiranjib Bhattacharyya, Ravindran Kannan, and Amit Kumar

   In Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, SODA 2022, Virtual Conference / Alexandria, VA, USA, January 9 - 12, 2022, 2022

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4. Reliable quantum kernel classification using fewer circuit evaluations

   Abhay Shastry, Abhijith Jayakumar, Apoorva D. Patel, and 1 more author

   CoRR, 2022

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5. BNSynth: Bounded Boolean Functional Synthesis

   Ravi Raja, Stanly Samuel, Chiranjib Bhattacharyya, and 2 more authors

   CoRR, 2022

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2021

1. Predicting the DNA Conductance Using a Deep Feedforward Neural Network Model

   Abhishek Aggarwal, Vinayak Vinayak, Saientan Bag, and 3 more authors

   J. Chem. Inf. Model., 2021

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2. Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder

   Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah, and 5 more authors

   In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021

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3. Rawlsian Fair Adaptation of Deep Learning Classifiers

   Kulin Shah, Pooja Gupta, Amit Deshpande, and 1 more author

   In AIES ’21: AAAI/ACM Conference on AI, Ethics, and Society, Virtual Event, USA, May 19-21, 2021, 2021

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4. Learning a Latent Simplex in Input Sparsity Time

   Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan, and 2 more authors

   In 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021
5. Finding k in Latent k- polytope

   Chiranjib Bhattacharyya, Ravindran Kannan, and Amit Kumar

   In Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021
6. Can Non-Humanoid Social Robots Reduce Workload of Special Educators : An Online and In-Premises Field Study

   Nabanita Paul, Siddharth Ramesh, Chiranjib Bhattacharyya, and 2 more authors

   In IEEE International Conference on Robotics and Automation, ICRA 2021, Xi’an, China, May 30 - June 5, 2021, 2021

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7. Learning a Latent Simplex in Input-Sparsity Time

   Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan, and 2 more authors

   CoRR, 2021
8. DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder

   Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah, and 5 more authors

   CoRR, 2021
9. Rawlsian Fair Adaptation of Deep Learning Classifiers

   Kulin Shah, Pooja Gupta, Amit Deshpande, and 1 more author

   CoRR, 2021

2020

1. Near-optimal sample complexity bounds for learning Latent k-polytopes and applications to Ad-Mixtures

   Chiranjib Bhattacharyya and Ravindran Kannan

   In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, 2020
2. Learning With Subquadratic Regularization : A Primal-Dual Approach

   Raman Sankaran, Francis R. Bach, and Chiranjib Bhattacharyya

   In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020, 2020

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3. Finding a latent \emphk-simplex in \emphO* (\emphk \(⋅\) nnz(data)) time via Subset Smoothing

   Chiranjib Bhattacharyya and Ravindran Kannan

   In Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, SODA 2020, Salt Lake City, UT, USA, January 5-8, 2020, 2020

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4. On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime

   Arman Rahbar, Ashkan Panahi, Chiranjib Bhattacharyya, and 2 more authors

   CoRR, 2020
5. Algorithms for finding k in k-means

   Chiranjib Bhattacharyya, Ravindran Kannan, and Amit Kumar

   CoRR, 2020

2019

1. How Many Pairwise Preferences Do We Need to Rank a Graph Consistently?

   Aadirupa Saha, Rakesh Shivanna, and Chiranjib Bhattacharyya

   In The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019

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2. Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

   Shikhar Vashishth, Manik Bhandari, Prateek Yadav, and 3 more authors

   In Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers, 2019

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3. Word2Sense: Sparse Interpretable Word Embeddings

   Abhishek Panigrahi, Harsha Vardhan Simhadri, and Chiranjib Bhattacharyya

   In Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers, 2019

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4. Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices

   Prafull Prakash, Chaitanya Murti, J. Saketha Nath, and 1 more author

   In PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part II, 2019

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5. Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits

   Aadirupa Saha, Shreyas Sheshadri, and Chiranjib Bhattacharyya

   In Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, UAI 2019, Tel Aviv, Israel, July 22-25, 2019, 2019
6. Regulating Drones in Restricted Spaces

   Abhishek Vijeev, Vinod Ganapathy, and Chiranjib Bhattacharyya

   In Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications, HotMobile 2019, Santa Cruz, CA, USA, February 27-28, 2019, 2019

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7. Finding a latent k-simplex in O(k . nnz(data)) time via Subset Smoothing

   Chiranjib Bhattacharyya and Ravindran Kannan

   CoRR, 2019

2018

1. Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach

   Achintya Kundu, Francis R. Bach, and Chiranjib Bhattacharyya

   In International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain, 2018
2. RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

   Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, and 2 more authors

   In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, 2018

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3. Weight-Agnostic Hierarchical Stick-Breaking Process

   Mrinal Kanti Das and Chiranjib Bhattacharyya

   In 2018 IEEE International Conference on Big Knowledge, ICBK 2018, Singapore, November 17-18, 2018, 2018

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4. Using Inherent Structures to design Lean 2-layer RBMs

   Abhishek Bansal, Abhinav Anand, and Chiranjib Bhattacharyya

   In Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018, 2018
5. Using Inherent Structures to design Lean 2-layer RBMs

   Abhishek Bansal, Abhinav Anand, and Chiranjib Bhattacharyya

   CoRR, 2018
6. Graph Convolutional Networks based Word Embeddings

   Shikhar Vashishth, Prateek Yadav, Manik Bhandari, and 3 more authors

   CoRR, 2018
7. How Many Pairwise Preferences Do We Need to Rank A Graph Consistently?

   Aadirupa Saha, Rakesh Shivanna, and Chiranjib Bhattacharyya

   CoRR, 2018
8. RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

   Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, and 2 more authors

   CoRR, 2018

2017

1. Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies

   Lavanya Sita Tekumalla, Vaibhav Rajan, and Chiranjib Bhattacharyya

   Mach. Learn., 2017

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2. Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization

   Adway Mitra, Soma Biswas, and Chiranjib Bhattacharyya

   IEEE Trans. Pattern Anal. Mach. Intell., 2017

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3. Corpus-Based Translation Induction in Indian Languages Using Auxiliary Language Corpora from Wikipedia

   Goutham Tholpadi, Chiranjib Bhattacharyya, and Shirish K. Shevade

   ACM Trans. Asian Low Resour. Lang. Inf. Process., 2017

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4. Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L\(_\mbox1\)-norms

   Raman Sankaran, Francis R. Bach, and Chiranjib Bhattacharyya

   In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA, 2017
5. SOPER: Discovering the Influence of Fashion and the Many Faces of User from Session Logs using Stick Breaking Process

   Lucky Dhakad, Mrinal Kanti Das, Chiranjib Bhattacharyya, and 3 more authors

   In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017, 2017

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6. Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery

   Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, and 1 more author

   In Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, 2017

2016

1. HLaffy: estimating peptide affinities for Class-1 HLA molecules by learning position-specific pair potentials

   Sumanta Mukherjee, Chiranjib Bhattacharyya, and Nagasuma Chandra

   Bioinform., 2016

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2. Non-negative Matrix Factorization under Heavy Noise

   Chiranjib Bhattacharyya, Navin Goyal, Ravindran Kannan, and 1 more author

   In Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, 2016
3. Copula-HDP-HMM: Non-parametric Modeling of Temporal Multivariate Data for I/O Efficient Bulk Cache Preloading

   Lavanya Sita Tekumalla and Chiranjib Bhattacharyya

   In Proceedings of the 2016 SIAM International Conference on Data Mining, Miami, Florida, USA, May 5-7, 2016, 2016

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2015

1. Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence

   Goutham Tholpadi, Mrinal Kanti Das, Trapit Bansal, and 1 more author

   In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA, 2015

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2. Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages

   Goutham Tholpadi, Chiranjib Bhattacharyya, and Shirish K. Shevade

   In Computational Linguistics and Intelligent Text Processing - 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part I, 2015

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3. Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models

   Mrinal Kanti Das, Trapit Bansal, and Chiranjib Bhattacharyya

   In Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015, 2015
4. EntScene: Nonparametric Bayesian Temporal Segmentation of Videos Aimed at Entity-Driven Scene Detection

   Adway Mitra, Chiranjib Bhattacharyya, and Soma Biswas

   In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, 2015
5. Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization

   Fredrik D. Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya, and 1 more author

   In Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, 2015
6. Spectral Norm Regularization of Orthonormal Representations for Graph Transduction

   Rakesh Shivanna, Bibaswan K. Chatterjee, Raman Sankaran, and 2 more authors

   In Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, 2015
7. Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles

   Trapit Bansal, Mrinal Kanti Das, and Chiranjib Bhattacharyya

   In Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, Vienna, Austria, September 16-20, 2015, 2015

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8. Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos

   Adway Mitra, Soma Biswas, and Chiranjib Bhattacharyya

   In Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015, 2015

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9. Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson

   Lavanya Sita Tekumalla and Chiranjib Bhattacharyya

   In Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015, 2015

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2014

1. Global graph kernels using geometric embeddings

   Fredrik D. Johansson, Vinay Jethava, Devdatt P. Dubhashi, and 1 more author

   In Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014, 2014
2. A provable SVD-based algorithm for learning topics in dominant admixture corpus

   Trapit Bansal, Chiranjib Bhattacharyya, and Ravindran Kannan

   In Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada, 2014
3. Learning on graphs using Orthonormal Representation is Statistically Consistent

   Rakesh Shivanna and Chiranjib Bhattacharyya

   In Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada, 2014
4. Going beyond Corr-LDA for detecting specific comments on news & blogs

   Mrinal Kanti Das, Trapit Bansal, and Chiranjib Bhattacharyya

   In Seventh ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, USA, February 24-28, 2014, 2014

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5. Controlled Sparsity Kernel Learning

   Dinesh Govindaraj, Raman Sankaran, Sreedal Menon, and 1 more author

   CoRR, 2014
6. Temporally Coherent Chinese Restaurant Process for Discovery of Persons and Corresponding Tracklets from User-generated Videos

   Adway Mitra, Soma Biswas, and Chiranjib Bhattacharyya

   CoRR, 2014
7. Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson

   Lavanya Sita Tekumalla and Chiranjib Bhattacharyya

   CoRR, 2014
8. A provable SVD-based algorithm for learning topics in dominant admixture corpus

   Trapit Bansal, Chiranjib Bhattacharyya, and Ravindran Kannan

   CoRR, 2014

2013

1. Lovász \textvartheta function, SVMs and finding dense subgraphs

   Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, and 1 more author

   J. Mach. Learn. Res., 2013

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2. Elastic Resources Framework in IaaS, Preserving Performance SLAs

   Mohit Dhingra, J. Lakshmi, S. K. Nandy, and 2 more authors

   In 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28 - July 3, 2013, 2013

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3. Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically

   Mrinal Kanti Das, Suparna Bhattacharya, Chiranjib Bhattacharyya, and 1 more author

   In Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013, 2013
4. Lovasz \textvartheta, SVMs and applications

   Vinay Jethava, Jacob Sznajdman, Chiranjib Bhattacharyya, and 1 more author

   In 2013 IEEE Information Theory Workshop, ITW 2013, Sevilla, Spain, September 9-13, 2013, 2013

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2012

1. Efficient methods for robust classification under uncertainty in kernel matrices

   Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, and 1 more author

   J. Mach. Learn. Res., 2012

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2. Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora

   Goutham Tholpadi, Mrinal Kanti Das, Chiranjib Bhattacharyya, and 1 more author

   In Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012. Proceedings, 2012

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3. LoadIQ: Learning to Identify Workload Phases from a Live Storage Trace

   Pankaj Pipada, Achintya Kundu, Kanchi Gopinath, and 3 more authors

   In 4th USENIX Workshop on Hot Topics in Storage and File Systems, HotStorage’12, Boston, MA, USA, June 13-14, 2012, 2012
4. Eigen-profiles of spatio-temporal fragments for adaptive region-based tracking

   Adway Mitra, Anoop Kolar Rajagopal, Ujwal D. Bonde, and 2 more authors

   In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012, Kyoto, Japan, March 25-30, 2012, 2012

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5. Dynamic Multi-relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media

   Himabindu Lakkaraju, Indrajit Bhattacharya, and Chiranjib Bhattacharyya

   In 12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012, 2012

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6. Covariance profiles: A signature representation for object sets

   Anoop Kolar Anoop, Adway Mitra, Ujwal D. Bonde, and 2 more authors

   In Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, November 11-15, 2012, 2012
7. "The Lovasz \textdollar}theta\textdollar function, SVMs and finding large dense subgraphs"

   Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, and 1 more author

   In Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States, 2012
8. TCP: Thread Contention Predictor for Parallel Programs

   Aparna Mandke Dani, Bharadwaj Amrutur, Y. N. Srikant, and 1 more author

   In Proceedings of the 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2012, Munich, Germany, February 15-17, 2012, 2012

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9. Dynamic Multi-Relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media

   Himabindu Lakkaraju, Indrajit Bhattacharya, and Chiranjib Bhattacharyya

   CoRR, 2012

2011

1. NETGEM: Network Embedded Temporal GEnerative Model for gene expression data

   Vinay Jethava, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, and 1 more author

   BMC Bioinform., 2011

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2. Variable Sparsity Kernel Learning

   Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattacharyya, and 2 more authors

   J. Mach. Learn. Res., 2011

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3. Chance constrained uncertain classification via robust optimization

   Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, and 1 more author

   Math. Program., 2011

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4. Supervised matching of comments with news article segments

   Dyut Kumar Sil, Srinivasan H. Sengamedu, and Chiranjib Bhattacharyya

   In Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011, 2011

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5. Learning Dirichlet Processes from Partially Observed Groups

   Avinava Dubey, Indrajit Bhattacharya, Mrinal Kanti Das, and 2 more authors

   In 11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011, 2011

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6. Diversity in ranking via resistive graph centers

   Avinava Dubey, Soumen Chakrabarti, and Chiranjib Bhattacharyya

   In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011, 2011

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7. Exploiting Coherence for the Simultaneous Discovery of Latent Facets and associated Sentiments

   Himabindu Lakkaraju, Chiranjib Bhattacharyya, Indrajit Bhattacharya, and 1 more author

   In Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, April 28-30, 2011, Mesa, Arizona, USA, 2011

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8. Scalable multi-dimensional user intent identification using tree structured distributions

   Vinay Jethava, Liliana Calderón-Benavides, Ricardo Baeza-Yates, and 2 more authors

   In Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011, 2011

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9. ReadAlong: reading articles and comments together

   Dyut Kumar Sil, Srinivasan H. Sengamedu, and Chiranjib Bhattacharyya

   In Proceedings of the 20th International Conference on World Wide Web, WWW 2011, Hyderabad, India, March 28 - April 1, 2011 (Companion Volume), 2011

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10. Mean Field Methods for a Special Class of Belief Networks

    Chiru Bhattacharyya and S. Sathiya Keerthi

    CoRR, 2011

2010

1. Discovering Business Process Model from Unstructured Activity Logs

   Rahul Kumar, Chiranjib Bhattacharyya, and Virendra Varshneya

   In 2010 IEEE International Conference on Services Computing, SCC 2010, Miami, Florida, USA, July 5-10, 2010, 2010

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2. Discovery of Application Workloads from Network File Traces

   Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, Kanchi Gopinath, and 2 more authors

   In 8th USENIX Conference on File and Storage Technologies, San Jose, CA, USA, February 23-26, 2010, 2010
3. Robust Formulations for Handling Uncertainty in Kernel Matrices

   Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib Bhattacharyya, and 1 more author

   In Proceedings of the 27th International Conference on Machine Learning (ICML-10), June 21-24, 2010, Haifa, Israel, 2010
4. Free form face recognition using kernel sparse representation

   Anoop Kolar Rajagopal, R. S. Narasimhan, K. R. Ramakrishnan, and 1 more author

   In Seventh Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP ’10, Chennai, India, December 12-15, 2010, 2010

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5. Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions

   Achintya Kundu, Vikram Tankasali, Chiranjib Bhattacharyya, and 1 more author

   In Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada, 2010
6. Video coding mode decision as a classification problem

   Rashad Maqbool Jillani, Urvang Joshi, Chiranjib Bhattacharyya, and 2 more authors

   In Visual Information Processing and Communication, San Jose, California, USA, January 19-21, 2010, 2010

   DOI

2009

1. A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data

   Sahely Bhadra, Chiranjib Bhattacharyya, Nagasuma R. Chandra, and 1 more author

   Algorithms Mol. Biol., 2009

   DOI
2. RAPID: Resource of Asian Primary Immunodeficiency Diseases

   Shivakumar Keerthikumar, Rajesh Raju, Kumaran Kandasamy, and 20 more authors

   Nucleic Acids Res., 2009

   DOI
3. Conditional Models for Non-smooth Ranking Loss Functions

   Avinava Dubey, Jinesh Machchhar, Chiranjib Bhattacharyya, and 1 more author

   In ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009, 2009

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4. Discovering Rules from Disk Events for Predicting Hard Drive Failures

   Vipul Agarwal, Chiranjib Bhattacharyya, Thirumale Niranjan, and 1 more author

   In International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009, 2009

   DOI
5. On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation

   Jagarlapudi Saketha Nath, G. Dinesh, Raman Sankaran, and 3 more authors

   In Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada, 2009
6. Interval Data Classification under Partial Information: A Chance-Constraint Approach

   Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, and 1 more author

   In Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings, 2009

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7. Randomized Algorithms for Large scale SVMs

   Vinay Jethava, Krishnan Suresh, Chiranjib Bhattacharyya, and 1 more author

   CoRR, 2009

2008

1. A large margin approach for writer independent online handwriting classification

   Karthik Kumara, Rahul Agrawal, and Chiranjib Bhattacharyya

   Pattern Recognit. Lett., 2008

   DOI
2. Structured learning for non-smooth ranking losses

   Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, and 1 more author

   In Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008, 2008

   DOI
3. Clustering Based on Genetic Algorithms

   M. Narasimha Murty, Rashmin Babaria, and Chiranjib Bhattacharyya

   In Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008

   DOI

2007

1. Comparison of protein structures by growing neighborhood alignments

   Sourangshu Bhattacharya, Chiranjib Bhattacharyya, and Nagasuma R. Chandra

   BMC Bioinform., 2007

   DOI
2. Fréchet Distance Based Approach for Searching Online Handwritten Documents

   E. Sriraghavendra, K. Karthik, and Chiranjib Bhattacharyya

   In 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 23-26 September, Curitiba, Paraná, Brazil, 2007

   DOI
3. Focused crawling with scalable ordinal regression solvers

   Rashmin Babaria, J. Saketha Nath, S. Krishnan, and 3 more authors

   In Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvallis, Oregon, USA, June 20-24, 2007, 2007

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4. Structural alignment based kernels for protein structure classification

   Sourangshu Bhattacharya, Chiranjib Bhattacharyya, and Nagasuma R. Chandra

   In Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvallis, Oregon, USA, June 20-24, 2007, 2007

   DOI
5. Kernels for Large Margin Time-Series Classification

   K. R. Sivaramakrishnan, K. Karthik, and Chiranjib Bhattacharyya

   In Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007, 2007

   DOI
6. A Randomized Algorithm for Large Scale Support Vector Learning

   Krishnan Kumar, Chiru Bhattacharyya, and Ramesh Hariharan

   In Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 2007
7. Kernels on Attributed Pointsets with Applications

   Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharyya, and 1 more author

   In Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 2007
8. Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates

   J. Saketha Nath and Chiranjib Bhattacharyya

   In Proceedings of the Seventh SIAM International Conference on Data Mining, April 26-28, 2007, Minneapolis, Minnesota, USA, 2007

   DOI

2006

1. Projections for fast protein structure retrieval

   Sourangshu Bhattacharya, Chiranjib Bhattacharyya, and Nagasuma R. Chandra

   BMC Bioinform., 2006

   DOI
2. Second Order Cone Programming Approaches for Handling Missing and Uncertain Data

   Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyya, and Alexander J. Smola

   J. Mach. Learn. Res., 2006
3. Clustering based large margin classification: a scalable approach using SOCP formulation

   J. Saketha Nath, Chiranjib Bhattacharyya, and M. Narasimha Murty

   In Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006, 2006

   DOI

2005

1. Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming

   H. M. Prasanna, Debasish Ghose, M. Seetharama Bhat, and 2 more authors

   In Computational Science and Its Applications - ICCSA 2005, International Conference, Singapore, May 9-12, 2005, Proceedings, Part IV, 2005

   DOI

2004

1. Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data

   Chiranjib Bhattacharyya, L. R. Grate, Michael I. Jordan, and 2 more authors

   J. Comput. Biol., 2004

   DOI
2. Second Order Cone Programming Formulations for Feature Selection

   Chiranjib Bhattacharyya

   J. Mach. Learn. Res., 2004
3. Efficient Algorithms for Intrusion Detection

   Niranjan K. Boora, Chiranjib Bhattacharyya, and Kanchi Gopinath

   In Distributed Computing and Internet Technology, First International Conference, ICDCIT 2004, Bhubaneswar, India, December 22-24, 2004, Proceedings, 2004

   DOI
4. Time Series Classification for Online Tamil Handwritten Character Recognition - A Kernel Based Approach

   K. R. Sivaramakrishnan and Chiranjib Bhattacharyya

   In Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings, 2004

   DOI
5. A Second Order Cone programming Formulation for Classifying Missing Data

   Chiranjib Bhattacharyya, Pannagadatta K. Shivaswamy, and Alexander J. Smola

   In Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, NIPS 2004, December 13-18, 2004, Vancouver, British Columbia, Canada], 2004

2003

1. Simultaneous classification and relevant feature identification in high-dimensional spaces: application to molecular profiling data

   Chiranjib Bhattacharyya, L. R. Grate, A. Rizki, and 5 more authors

   Signal Process., 2003

   DOI

2002

1. A Robust Minimax Approach to Classification

   Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, and 1 more author

   J. Mach. Learn. Res., 2002
2. Simultaneous Relevant Feature Identification and Classification in High-Dimensional Spaces

   L. R. Grate, Chiranjib Bhattacharyya, Michael I. Jordan, and 1 more author

   In Algorithms in Bioinformatics, Second International Workshop, WABI 2002, Rome, Italy, September 17-21, 2002, Proceedings, 2002

   DOI

2001

1. Mean Field Methods for a Special Class of Belief Networks

   Chiranjib Bhattacharyya and S. Sathiya Keerthi

   J. Artif. Intell. Res., 2001

   DOI
2. Improvements to Platt’s SMO Algorithm for SVM Classifier Design

   S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, and 1 more author

   Neural Comput., 2001

   DOI
3. Minimax Probability Machine

   Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, and 1 more author

   In Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada], 2001

2000

1. A fast iterative nearest point algorithm for support vector machine classifier design

   S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, and 1 more author

   IEEE Trans. Neural Networks Learn. Syst., 2000

   DOI
2. Improvements to the SMO algorithm for SVM regression

   Shirish K. Shevade, S. Sathiya Keerthi, Chiranjib Bhattacharyya, and 1 more author

   IEEE Trans. Neural Networks Learn. Syst., 2000

   DOI
3. A Variational Mean-Field Theory for Sigmoidal Belief Networks

   Chiranjib Bhattacharyya and S. Sathiya Keerthi

   In Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA, 2000