Bhattacharyya, Chiranjib

50 publications

ICLRW 2025 An Optimal Criterion for Steering Data Distributions to Achieve Exact Fairness Mohit Sharma, Amit Deshpande, Chiranjib Bhattacharyya, Rajiv Ratn Shah

CVPR 2025 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, Chiranjib Bhattacharyya

ICLR 2025 LevAttention: Time, Space and Streaming Efficient Algorithm for Heavy Attentions Ravindran Kannan, Chiranjib Bhattacharyya, Praneeth Kacham, David Woodruff

NeurIPS 2025 ModHiFi: Identifying High Fidelity Predictive Components for Model Modification Dhruva Kashyap, Chaitanya Murti, Pranav K Nayak, Tanay Narshana, Chiranjib Bhattacharyya

NeurIPS 2025 On Optimal Steering to Achieve Exact Fairness Mohit Sharma, Amit Deshpande, Chiranjib Bhattacharyya, Rajiv Ratn Shah

NeurIPS 2024 DisCEdit: Model Editing by Identifying Discriminative Components Chaitanya Murti, Chiranjib Bhattacharyya

AISTATS 2024 LP-Based Construction of DC Decompositions for Efficient Inference of Markov Random Fields Chaitanya Murti, Dhruva Kashyap, Chiranjib Bhattacharyya

NeurIPS 2024 Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya, Devdatt Dubhashi, Alexandru Gheorghiu

ICLR 2023 DFPC: Data Flow Driven Pruning of Coupled Channels Without Data. Tanay Narshana, Chaitanya Murti, Chiranjib Bhattacharyya

NeurIPS 2023 Deep Recurrent Optimal Stopping Niranjan Damera Venkata, Chiranjib Bhattacharyya

ICLR 2023 TVSPrune - Pruning Non-Discriminative Filters via Total Variation Separability of Intermediate Representations Without Fine Tuning Chaitanya Murti, Tanay Narshana, Chiranjib Bhattacharyya

NeurIPS 2022 When to Intervene: Learning Optimal Intervention Policies for Critical Events Niranjan Damera Venkata, Chiranjib Bhattacharyya

AAAI 2021 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, Vinay Vishwanath

ICML 2021 Finding K in Latent $k-$ Polytope Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar

ICLR 2021 Learning a Latent Simplex in Input Sparsity Time Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan, David Woodruff, Samson Zhou

IJCAI 2020 Learning with Subquadratic Regularization : A Primal-Dual Approach Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya

ICML 2020 Near-Optimal Sample Complexity Bounds for Learning Latent $k-$polytopes and Applications to Ad-Mixtures Chiranjib Bhattacharyya, Ravindran Kannan

UAI 2019 Be Greedy: How Chromatic Number Meets Regret Minimization in Graph Bandits Shreyas S, Aadirupa Saha, Chiranjib Bhattacharyya

AAAI 2019 How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya

AISTATS 2018 Convex Optimization over Intersection of Simple Sets: Improved Convergence Rate Guarantees via an Exact Penalty Approach Achintya Kundu, Francis R. Bach, Chiranjib Bhattacharyya

ICML 2018 Using Inherent Structures to Design Lean 2-Layer RBMs Abhishek Bansal, Abhinav Anand, Chiranjib Bhattacharyya

ICML 2017 Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery Ashkan Panahi, Devdatt Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya

AISTATS 2017 Identifying Groups of Strongly Correlated Variables Through Smoothed Ordered Weighted L1-Norms Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya

MLJ 2017 Vine Copulas for Mixed Data : Multi-View Clustering for Mixed Data Beyond Meta-Gaussian Dependencies Lavanya Sita Tekumalla, Vaibhav Rajan, Chiranjib Bhattacharyya

IJCAI 2015 EntScene: Nonparametric Bayesian Temporal Segmentation of Videos Aimed at Entity-Driven Scene Detection Adway Mitra, Chiranjib Bhattacharyya, Soma Biswas

ICML 2015 Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models Mrinal Das, Trapit Bansal, Chiranjib Bhattacharyya

AAAI 2015 Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence Goutham Tholpadi, Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya

NeurIPS 2015 Spectral Norm Regularization of Orthonormal Representations for Graph Transduction Rakesh Shivanna, Bibaswan K Chatterjee, Raman Sankaran, Chiranjib Bhattacharyya, Francis Bach

NeurIPS 2015 Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization Fredrik D Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya, Devdatt Dubhashi

NeurIPS 2014 A Provable SVD-Based Algorithm for Learning Topics in Dominant Admixture Corpus Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan

ICML 2014 Global Graph Kernels Using Geometric Embeddings Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi, Chiranjib Bhattacharyya

NeurIPS 2014 Learning on Graphs Using Orthonormal Representation Is Statistically Consistent Rakesh Shivanna, Chiranjib Bhattacharyya

JMLR 2013 Lovasz Theta Function, SVMs and Finding Dense Subgraphs Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt Dubhashi

ICML 2013 Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically Mrinal Das, Suparna Bhattacharya, Chiranjib Bhattacharyya, Gopinath Kanchi

JMLR 2012 Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, Arkadi Nemirovski

NeurIPS 2012 The Lovász Θ Function, SVMs and Finding Large Dense Subgraphs Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt Dubhashi

JMLR 2011 Variable Sparsity Kernel Learning Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattacharyya, Jagarlapudi Saketha Nath, Sankaran Raman

NeurIPS 2010 Efficient Algorithms for Learning Kernels from Multiple Similarity Matrices with General Convex Loss Functions Achintya Kundu, Vikram Tankasali, Chiranjib Bhattacharyya, Aharon Ben-tal

ICML 2010 Robust Formulations for Handling Uncertainty in Kernel Matrices Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Aharon Ben-Tal

NeurIPS 2009 On the Algorithmics and Applications of a Mixed-Norm Based Kernel Learning Formulation Saketha N. Jagarlapudi, Dinesh G, Raman S, Chiranjib Bhattacharyya, Aharon Ben-tal, Ramakrishnan K.r.

ICML 2007 Focused Crawling with Scalable Ordinal Regression Solvers Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. R. Sivaramakrishnan, Chiranjib Bhattacharyya, M. Narasimha Murty

ICML 2007 Structural Alignment Based Kernels for Protein Structure Classification Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra

JMLR 2006 Second Order Cone Programming Approaches for Handling Missing and Uncertain Data Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyya, Alexander J. Smola

NeurIPS 2004 A Second Order Cone Programming Formulation for Classifying Missing Data Chiranjib Bhattacharyya, Pannagadatta K. Shivaswamy, Alex J. Smola

JMLR 2004 Second Order Cone Programming Formulations for Feature Selection Chiranjib Bhattacharyya

JMLR 2002 A Robust Minimax Approach to Classification Gert R.G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan

NeCo 2001 Improvements to Platt's SMO Algorithm for SVM Classifier Design S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy

JAIR 2001 Mean Field Methods for a Special Class of Belief Networks Chiranjib Bhattacharyya, S. Sathiya Keerthi

NeurIPS 2001 Minimax Probability Machine Gert Lanckriet, Laurent E. Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan

NeurIPS 2000 A Variational Mean-Field Theory for Sigmoidal Belief Networks Chiranjib Bhattacharyya, S. Sathiya Keerthi