Publications

Publications in reverse chronological order.

2026

  1. ICML
    Blending Neural Control Density Functions for Stabilization and Safety
    Sahil Chaudhary, Chaitanya Murti, and Chiranjib Bhattacharyya
    In Forty-third International Conference on Machine Learning, ICML 2026, 2026
    Website

2025

  1. NeurIPS
    On Optimal Steering to Achieve Exact Fairness
    Mohit Sharma, Amit Deshpande, Chiranjib Bhattacharyya, and Rajiv Ratn Shah
    In Advances in Neural Information Processing Systems 38, NeurIPS 2025, 2025
  2. NeurIPS
    ModHiFi: Identifying High Fidelity Predictive Components for Model Modification
    Dhruva Kashyap, Chaitanya Murti, Pranav K. Nayak, Tanay Narshana, and Chiranjib Bhattacharyya
    In Advances in Neural Information Processing Systems 38, NeurIPS 2025, 2025
    Spotlight
  3. CVPR
    CheXwhatsApp: A Dataset for Exploring Challenges in the Diagnosis of Chest X-rays through Mobile Devices
    Mariamma Antony, Rajiv Porana, Sahil M. Lathiya, Siva Teja Kakileti, and Chiranjib Bhattacharyya
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025, 2025
    DOI
  4. ICLR
    LevAttention: Time, Space and Streaming Efficient Algorithm for Heavy Attentions
    Ravindran Kannan, Chiranjib Bhattacharyya, Praneeth Kacham, and David P. Woodruff
    In The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025
  5. arXiv
    DO-EM: Density Operator Expectation Maximization
    Adit Vishnu, Abhay Shastry, Dhruva Kashyap, and Chiranjib Bhattacharyya
    CoRR, 2025
    DOI
  6. arXiv
    When Routers, Switches and Interconnects Compute: A processing-in-interconnect Paradigm for Scalable Neuromorphic AI
    Madhuvanthi Srivatsav R, Chiranjib Bhattacharyya, Shantanu Chakrabartty, and Chetan Singh Thakur
    CoRR, 2025
    DOI

2024

  1. DAP
    Decision time: illuminating performance in India’s district courts
    Varsha Aithala, Anushka Sachan, Srijoni Sen, Himanshu Payal, and Chiranjib Bhattacharya
    Data & Policy, 2024
    DOI
  2. AISTATS
    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
  3. ICALP
    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
    DOI
  4. NeurIPS
    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
  5. NeurIPS
    Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
    Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, and Alexandru Gheorghiu
    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

2023

  1. Sci. Rep.
    Challenges of AI driven diagnosis of chest X-rays transmitted through smart phones: a case study in COVID-19
    Mariamma Antony, Siva Teja Kakileti, Rachit Shah, Sabyasachi Sahoo, Chiranjib Bhattacharyya, and Geetha Manjunath
    Scientific Reports, Oct 2023
    DOI Code
  2. ICLR
    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, Oct 2023
  3. ICLR
    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, Oct 2023
  4. NeurIPS
    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, Oct 2023

2022

  1. arXiv
    Shot-frugal and Robust quantum kernel classifiers
    Abhay Shastry, Abhijith Jayakumar, Apoorva Patel, and Chiranjib Bhattacharyya
    arXiv preprint arXiv:2210.06971, Oct 2022
    arXiv
  2. Analysis of Knowledge Transfer in Kernel Regime
    Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, and Morteza Haghir Chehreghani
    In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, Oct 2022
    DOI
  3. NeurIPS
    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, Oct 2022
    PDF Supp
  4. SODA
    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, Oct 2022
    DOI
  5. arXiv
    Reliable quantum kernel classification using fewer circuit evaluations
    Abhay Shastry, Abhijith Jayakumar, Apoorva D. Patel, and Chiranjib Bhattacharyya
    CoRR, Oct 2022
    DOI
  6. arXiv
    BNSynth: Bounded Boolean Functional Synthesis
    Ravi Raja, Stanly Samuel, Chiranjib Bhattacharyya, Deepak D’Souza, and Aditya Kanade
    CoRR, Oct 2022
    DOI

2021

  1. Predicting the DNA Conductance Using a Deep Feedforward Neural Network Model
    Abhishek Aggarwal, Vinayak Vinayak, Saientan Bag, Chiranjib Bhattacharyya, Umesh V. Waghmare, and Prabal K. Maiti
    J. Chem. Inf. Model., Oct 2021
    DOI
  2. AAAI
    Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder
    Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah, Vineetha Kondameedi, Abhinav Jain, Akshaj Verma, Chiranjib Bhattacharyya, and Vinay Vishwanath
    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, Oct 2021
    DOI Code Website
  3. AIES
    Rawlsian Fair Adaptation of Deep Learning Classifiers
    Kulin Shah, Pooja Gupta, Amit Deshpande, and Chiranjib Bhattacharyya
    In AIES ’21: AAAI/ACM Conference on AI, Ethics, and Society, Virtual Event, USA, May 19-21, 2021, Oct 2021
    DOI PDF
  4. ICLR
    Learning a Latent Simplex in Input Sparsity Time
    Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan, David P. Woodruff, and Samson Zhou
    In 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, Oct 2021
  5. ICML
    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, Oct 2021
    PDF Supp
  6. ICRA
    Can Non-Humanoid Social Robots Reduce Workload of Special Educators : An Online and In-Premises Field Study
    Nabanita Paul, Siddharth Ramesh, Chiranjib Bhattacharyya, Jayashree Ramesh, and Priya Vijayan
    In IEEE International Conference on Robotics and Automation, ICRA 2021, Xi’an, China, May 30 - June 5, 2021, Oct 2021
    DOI Video Website

2020

  1. ICML
    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, Oct 2020
    Supp
  2. IJCAI
    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, Oct 2020
    DOI
  3. SODA
    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, Oct 2020
    DOI
  4. arXiv
    On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime
    Arman Rahbar, Ashkan Panahi, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, and Morteza Haghir Chehreghani
    CoRR, Oct 2020
  5. arXiv
    Algorithms for finding k in k-means
    Chiranjib Bhattacharyya, Ravindran Kannan, and Amit Kumar
    CoRR, Oct 2020

2019

  1. AAAI
    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, Oct 2019
    DOI
  2. ACL
    Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
    Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, and Partha P. Talukdar
    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, Oct 2019
    DOI
  3. ACL
    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, Oct 2019
    DOI
  4. PRICAI
    Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices
    Prafull Prakash, Chaitanya Murti, J. Saketha Nath, and Chiranjib Bhattacharyya
    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, Oct 2019
    DOI
  5. UAI
    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, Oct 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, Oct 2019
    DOI

2018

  1. AISTATS
    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, Oct 2018
  2. EMNLP
    RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
    Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, and Partha P. Talukdar
    In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, Oct 2018
    DOI
  3. ICBK
    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, Oct 2018
    DOI
  4. ICML
    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, Oct 2018
  5. arXiv
    Graph Convolutional Networks based Word Embeddings
    Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Piyush Rai, Chiranjib Bhattacharyya, and Partha P. Talukdar
    CoRR, Oct 2018

2017

  1. MLJ
    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., Oct 2017
    DOI
  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., Oct 2017
    DOI
  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., Oct 2017
    DOI
  4. AISTATS
    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, Oct 2017
  5. CIKM
    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, Samik Datta, Mihir Kale, and Vivek Mehta
    In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017, Oct 2017
    DOI
  6. ICML
    Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery
    Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, and Chiranjib Bhattacharyya
    In Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, Oct 2017

2016

  1. Bioinformatics
    HLaffy: estimating peptide affinities for Class-1 HLA molecules by learning position-specific pair potentials
    Sumanta Mukherjee, Chiranjib Bhattacharyya, and Nagasuma Chandra
    Bioinform., Oct 2016
    DOI
  2. ICML
    Non-negative Matrix Factorization under Heavy Noise
    Chiranjib Bhattacharyya, Navin Goyal, Ravindran Kannan, and Jagdeep Pani
    In Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, Oct 2016
  3. ICDM
    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, Oct 2016
    DOI

2015

  1. AAAI
    Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence
    Goutham Tholpadi, Mrinal Kanti Das, Trapit Bansal, and Chiranjib Bhattacharyya
    In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA, Oct 2015
    DOI
  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, Oct 2015
    DOI
  3. ICML
    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, Oct 2015
  4. IJCAI
    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, Oct 2015
  5. NeurIPS
    Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization
    Fredrik D. Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya, and Devdatt P. Dubhashi
    In Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, Oct 2015
  6. NeurIPS
    Spectral Norm Regularization of Orthonormal Representations for Graph Transduction
    Rakesh Shivanna, Bibaswan K. Chatterjee, Raman Sankaran, Chiranjib Bhattacharyya, and Francis R. Bach
    In Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, Oct 2015
  7. RecSys
    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, Oct 2015
    DOI
  8. ICDM
    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, Oct 2015
    DOI
  9. ICDM
    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, Oct 2015
    DOI

2014

  1. ICML
    Global graph kernels using geometric embeddings
    Fredrik D. Johansson, Vinay Jethava, Devdatt P. Dubhashi, and Chiranjib Bhattacharyya
    In Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014, Oct 2014
  2. NeurIPS
    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, Oct 2014
  3. NeurIPS
    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, Oct 2014
  4. WSDM
    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, Oct 2014
    DOI
  5. arXiv
    Controlled Sparsity Kernel Learning
    Dinesh Govindaraj, Raman Sankaran, Sreedal Menon, and Chiranjib Bhattacharyya
    CoRR, Oct 2014
  6. arXiv
    Temporally Coherent Chinese Restaurant Process for Discovery of Persons and Corresponding Tracklets from User-generated Videos
    Adway Mitra, Soma Biswas, and Chiranjib Bhattacharyya
    CoRR, Oct 2014

2013

  1. JMLR
    Lovász \textvartheta function, SVMs and finding dense subgraphs
    Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, and Devdatt P. Dubhashi
    J. Mach. Learn. Res., Oct 2013
    DOI
  2. Elastic Resources Framework in IaaS, Preserving Performance SLAs
    Mohit Dhingra, J. Lakshmi, S. K. Nandy, Chiranjib Bhattacharyya, and Kanchi Gopinath
    In 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28 - July 3, 2013, Oct 2013
    DOI
  3. ICML
    Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically
    Mrinal Kanti Das, Suparna Bhattacharya, Chiranjib Bhattacharyya, and Kanchi Gopinath
    In Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013, Oct 2013
  4. ITW
    Lovasz \textvartheta, SVMs and applications
    Vinay Jethava, Jacob Sznajdman, Chiranjib Bhattacharyya, and Devdatt P. Dubhashi
    In 2013 IEEE Information Theory Workshop, ITW 2013, Sevilla, Spain, September 9-13, 2013, Oct 2013
    DOI

2012

  1. JMLR
    Efficient methods for robust classification under uncertainty in kernel matrices
    Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, and Arkadi Nemirovski
    J. Mach. Learn. Res., Oct 2012
    DOI
  2. ECIR
    Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora
    Goutham Tholpadi, Mrinal Kanti Das, Chiranjib Bhattacharyya, and Shirish K. Shevade
    In Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012. Proceedings, Oct 2012
    DOI
  3. LoadIQ: Learning to Identify Workload Phases from a Live Storage Trace
    Pankaj Pipada, Achintya Kundu, Kanchi Gopinath, Chiranjib Bhattacharyya, Sai Susarla, and P. C. Nagesh
    In 4th USENIX Workshop on Hot Topics in Storage and File Systems, HotStorage’12, Boston, MA, USA, June 13-14, 2012, Oct 2012
  4. ICASSP
    Eigen-profiles of spatio-temporal fragments for adaptive region-based tracking
    Adway Mitra, Anoop Kolar Rajagopal, Ujwal D. Bonde, Chiranjib Bhattacharyya, and K. R. Ramakrishnan
    In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012, Kyoto, Japan, March 25-30, 2012, Oct 2012
    DOI
  5. ICDM
    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, Oct 2012
    DOI
  6. ICPR
    Covariance profiles: A signature representation for object sets
    Anoop Kolar Anoop, Adway Mitra, Ujwal D. Bonde, Chiranjib Bhattacharyya, and K. R. Ramakrishnan
    In Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, November 11-15, 2012, Oct 2012
  7. NeurIPS
    The Lovász extvartheta function, SVMs and finding large dense subgraphs
    Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, and Devdatt P. Dubhashi
    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, Oct 2012
  8. PDP
    TCP: Thread Contention Predictor for Parallel Programs
    Aparna Mandke Dani, Bharadwaj Amrutur, Y. N. Srikant, and Chiranjib Bhattacharyya
    In Proceedings of the 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2012, Munich, Germany, February 15-17, 2012, Oct 2012
    DOI

2011

  1. Bioinformatics
    NETGEM: Network Embedded Temporal GEnerative Model for gene expression data
    Vinay Jethava, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, and Goutham N. Vemuri
    BMC Bioinform., Oct 2011
    DOI
  2. JMLR
    Variable Sparsity Kernel Learning
    Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattacharyya, Jagarlapudi Saketha Nath, and Raman Sankaran
    J. Mach. Learn. Res., Oct 2011
    DOI
  3. Chance constrained uncertain classification via robust optimization
    Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, and J. Saketha Nath
    Math. Program., Oct 2011
    DOI
  4. CIKM
    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, Oct 2011
    DOI
  5. ICDM
    Learning Dirichlet Processes from Partially Observed Groups
    Avinava Dubey, Indrajit Bhattacharya, Mrinal Kanti Das, Tanveer A. Faruquie, and Chiranjib Bhattacharyya
    In 11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011, Oct 2011
    DOI
  6. KDD
    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, Oct 2011
    DOI
  7. ICDM
    Exploiting Coherence for the Simultaneous Discovery of Latent Facets and associated Sentiments
    Himabindu Lakkaraju, Chiranjib Bhattacharyya, Indrajit Bhattacharya, and Srujana Merugu
    In Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, April 28-30, 2011, Mesa, Arizona, USA, Oct 2011
    DOI
  8. SIGIR
    Scalable multi-dimensional user intent identification using tree structured distributions
    Vinay Jethava, Liliana Calderón-Benavides, Ricardo Baeza-Yates, Chiranjib Bhattacharyya, and Devdatt P. Dubhashi
    In Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011, Oct 2011
    DOI
  9. WWW
    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), Oct 2011
    DOI

2010

  1. SCC
    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, Oct 2010
    DOI
  2. Discovery of Application Workloads from Network File Traces
    Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, Kanchi Gopinath, Thirumale Niranjan, and Sai Susarla
    In 8th USENIX Conference on File and Storage Technologies, San Jose, CA, USA, February 23-26, 2010, Oct 2010
  3. ICML
    Robust Formulations for Handling Uncertainty in Kernel Matrices
    Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib Bhattacharyya, and Aharon Ben-Tal
    In Proceedings of the 27th International Conference on Machine Learning (ICML-10), June 21-24, 2010, Haifa, Israel, Oct 2010
  4. Free form face recognition using kernel sparse representation
    Anoop Kolar Rajagopal, R. S. Narasimhan, K. R. Ramakrishnan, and Chiranjib Bhattacharyya
    In Seventh Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP ’10, Chennai, India, December 12-15, 2010, Oct 2010
    DOI
  5. NeurIPS
    Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions
    Achintya Kundu, Vikram Tankasali, Chiranjib Bhattacharyya, and Aharon Ben-Tal
    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, Oct 2010
  6. Video coding mode decision as a classification problem
    Rashad Maqbool Jillani, Urvang Joshi, Chiranjib Bhattacharyya, Hari Kalva, and R. K. Ramakrishnan
    In Visual Information Processing and Communication, San Jose, California, USA, January 19-21, 2010, Oct 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 I. Saira Mian
    Algorithms Mol. Biol., Oct 2009
    DOI
  2. RAPID: Resource of Asian Primary Immunodeficiency Diseases
    Shivakumar Keerthikumar, Rajesh Raju, Kumaran Kandasamy, Atsushi Hijikata, Subhashri Ramabadran, Lavanya Balakrishnan, Mukhtar Ahmed, Sandhya Rani, Lakshmi Dhevi N. Selvan, Devi S. Somanathan, Somak Ray, Mitali Bhattacharjee, Sashikanth Gollapudi, Y. L. Ramachandra, Sahely Bhadra, Chiranjib Bhattacharyya, Kohsuke Imai, Shigeaki Nonoyama, Hirokazu Kanegane, Toshio Miyawaki, Akhilesh Pandey, Osamu Ohara, and S. Sujatha Mohan
    Nucleic Acids Res., Oct 2009
    DOI
  3. ICDM
    Conditional Models for Non-smooth Ranking Loss Functions
    Avinava Dubey, Jinesh Machchhar, Chiranjib Bhattacharyya, and Soumen Chakrabarti
    In ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009, Oct 2009
    DOI
  4. ICMLA
    Discovering Rules from Disk Events for Predicting Hard Drive Failures
    Vipul Agarwal, Chiranjib Bhattacharyya, Thirumale Niranjan, and Sai Susarla
    In International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009, Oct 2009
    DOI
  5. NeurIPS
    On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation
    Jagarlapudi Saketha Nath, G. Dinesh, Raman Sankaran, Chiranjib Bhattacharyya, Aharon Ben-Tal, and K. R. Ramakrishnan
    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, Oct 2009
  6. PAKDD
    Interval Data Classification under Partial Information: A Chance-Constraint Approach
    Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, and Chiranjib Bhattacharyya
    In Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings, Oct 2009
    DOI
  7. arXiv
    Randomized Algorithms for Large scale SVMs
    Vinay Jethava, Krishnan Suresh, Chiranjib Bhattacharyya, and Ramesh Hariharan
    CoRR, Oct 2009

2008

  1. A large margin approach for writer independent online handwriting classification
    Karthik Kumara, Rahul Agrawal, and Chiranjib Bhattacharyya
    Pattern Recognit. Lett., Oct 2008
    DOI
  2. KDD
    Structured learning for non-smooth ranking losses
    Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, and Chiru Bhattacharyya
    In Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008, Oct 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, Oct 2008
    DOI

2007

  1. Bioinformatics
    Comparison of protein structures by growing neighborhood alignments
    Sourangshu Bhattacharya, Chiranjib Bhattacharyya, and Nagasuma R. Chandra
    BMC Bioinform., Oct 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, Oct 2007
    DOI
  3. Focused crawling with scalable ordinal regression solvers
    Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. R. Sivaramakrishnan, Chiranjib Bhattacharyya, and M. Narasimha Murty
    In Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvallis, Oregon, USA, June 20-24, 2007, Oct 2007
    DOI
  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, Oct 2007
    DOI
  5. IJCNN
    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, Oct 2007
    DOI
  6. NeurIPS
    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, Oct 2007
  7. NeurIPS
    Kernels on Attributed Pointsets with Applications
    Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharyya, and K. R. Ramakrishnan
    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, Oct 2007
  8. ICDM
    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, Oct 2007
    DOI

2006

  1. Bioinformatics
    Projections for fast protein structure retrieval
    Sourangshu Bhattacharya, Chiranjib Bhattacharyya, and Nagasuma R. Chandra
    BMC Bioinform., Oct 2006
    DOI
  2. JMLR
    Second Order Cone Programming Approaches for Handling Missing and Uncertain Data
    Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyya, and Alexander J. Smola
    J. Mach. Learn. Res., Oct 2006
  3. KDD
    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, Oct 2006
    DOI

2005

  1. ICCSA
    Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming
    H. M. Prasanna, Debasish Ghose, M. Seetharama Bhat, Chiranjib Bhattacharyya, and J. Umakant
    In Computational Science and Its Applications - ICCSA 2005, International Conference, Singapore, May 9-12, 2005, Proceedings, Part IV, Oct 2005
    DOI

2004

  1. Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data
    Chiranjib Bhattacharyya, L. R. Grate, Michael I. Jordan, Laurent El Ghaoui, and I. Saira Mian
    J. Comput. Biol., Oct 2004
    DOI
  2. JMLR
    Second Order Cone Programming Formulations for Feature Selection
    Chiranjib Bhattacharyya
    J. Mach. Learn. Res., Oct 2004
  3. ICDCIT
    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, Oct 2004
    DOI
  4. NeurIPS
    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, Oct 2004
    DOI
  5. NeurIPS
    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], Oct 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, D. Radisky, F. J. Molina, Michael I. Jordan, Mina J. Bissell, and I. Saira Mian
    Signal Process., Oct 2003
    DOI

2002

  1. JMLR
    A Robust Minimax Approach to Classification
    Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, and Michael I. Jordan
    J. Mach. Learn. Res., Oct 2002
  2. Bioinformatics
    Simultaneous Relevant Feature Identification and Classification in High-Dimensional Spaces
    L. R. Grate, Chiranjib Bhattacharyya, Michael I. Jordan, and I. Saira Mian
    In Algorithms in Bioinformatics, Second International Workshop, WABI 2002, Rome, Italy, September 17-21, 2002, Proceedings, Oct 2002
    DOI

2001

  1. JAIR
    Mean Field Methods for a Special Class of Belief Networks
    Chiranjib Bhattacharyya and S. Sathiya Keerthi
    J. Artif. Intell. Res., Oct 2001
    DOI
  2. Neural Comput.
    Improvements to Platt’s SMO Algorithm for SVM Classifier Design
    S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, and K. R. K. Murthy
    Neural Comput., Oct 2001
    DOI
  3. NeurIPS
    Minimax Probability Machine
    Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, and Michael I. Jordan
    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], Oct 2001

2000

  1. A fast iterative nearest point algorithm for support vector machine classifier design
    S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, and K. R. K. Murthy
    IEEE Trans. Neural Networks Learn. Syst., Oct 2000
    DOI
  2. Improvements to the SMO algorithm for SVM regression
    Shirish K. Shevade, S. Sathiya Keerthi, Chiranjib Bhattacharyya, and K. R. K. Murthy
    IEEE Trans. Neural Networks Learn. Syst., Oct 2000
    DOI
  3. NeurIPS
    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, Oct 2000