| 2025 | AISTATS | Loss Gradient Gaussian Width based Generalization and Optimization Guarantees. | Arindam Banerjee, Qiaobo Li, Yingxue Zhou |
| 2025 | ICLR | Conservative Contextual Bandits: Beyond Linear Representations. | Rohan Deb, Mohammad Ghavamzadeh, Arindam Banerjee |
| 2025 | ICML | Optimization for Neural Operators can Benefit from Width. | Pedro Cisneros-Velarde, Bhavesh Shrimali, Arindam Banerjee |
| 2025 | UAI | Computationally Efficient Methods for Invariant Feature Selection with Sparsity. | Jane Du, Arindam Banerjee |
| 2025 | UAI | MSP-SR: Multi-Stage Probabilistic Generative Super Resolution with Scarce High-Resolution Data. | Ruike Zhu, Matthew Charles Weston, Hanwen Zhang, Arindam Banerjee |
| 2024 | AISTATS | Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources. | Rohan Deb, Aadirupa Saha, Arindam Banerjee |
| 2024 | ICLR | Contextual Bandits with Online Neural Regression. | Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee |
| 2023 | ICLR | Restricted Strong Convexity of Deep Learning Models with Smooth Activations. | Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Mikhail Belkin |
| 2023 | UAI | Neural tangent kernel at initialization: linear width suffices. | Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Mikhail Belkin |
| 2022 | AAAI | Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration. | Sijie He, Xinyan Li, Laurie Trenary, Benjamin A. Cash, Timothy DelSole, Arindam Banerjee |
| 2022 | ICLR | EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. | Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He |
| 2022 | ICML | Stability Based Generalization Bounds for Exponential Family Langevin Dynamics. | Arindam Banerjee, Tiancong Chen, Xinyan Li, Yingxue Zhou |
| 2022 | ICML | Smoothed Adversarial Linear Contextual Bandits with Knapsacks. | Vidyashankar Sivakumar, Shiliang Zuo, Arindam Banerjee |
| 2022 | SDM | Noisy Truncated SGD: Optimization and Generalization. | Yingxue Zhou, Xinyan Li, Arindam Banerjee |
| 2021 | AAAI | Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances. | Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee |
| 2021 | ICLR | Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification. | Yingxue Zhou, Steven Wu, Arindam Banerjee |
| 2021 | UAI | Subseasonal climate prediction in the western US using Bayesian spatial models. | Vishwak Srinivasan, Justin Khim, Arindam Banerjee, Pradeep Ravikumar |
| 2020 | ICML | Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis. | Vidyashankar Sivakumar, Zhiwei Steven Wu, Arindam Banerjee |
| 2020 | SDM | Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization. | Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee |
| 2019 | AAAI | Interpretable Predictive Modeling for Climate Variables with Weighted Lasso. | Sijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee |
| 2019 | IJCAI | Sketched Iterative Algorithms for Structured Generalized Linear Models. | Qilong Gu, Arindam Banerjee |
| 2019 | RecSys | Adversarial attacks on an oblivious recommender. | Konstantina Christakopoulou, Arindam Banerjee |
| 2018 | AAAI | Topic Modeling on Health Journals With Regularized Variational Inference. | Robert A. Giaquinto, Arindam Banerjee |
| 2018 | AISTATS | Sparse Linear Isotonic Models. | Sheng Chen, Arindam Banerjee |
| 2018 | ICDM | DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora. | Robert A. Giaquinto, Arindam Banerjee |
| 2018 | UAI | Stable Gradient Descent. | Yingxue Zhou, Sheng Chen, Arindam Banerjee |
| 2018 | SP | Time Series Deinterleaving of DNS Traffic. | Amir Asiaee T., Hardik Goel, Shalini Ghosh, Vinod Yegneswaran, Arindam Banerjee |
| 2018 | SDM | Learning to Interact with Users: A Collaborative-Bandit Approach. | Konstantina Christakopoulou, Arindam Banerjee |
| 2017 | AAAI | Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning. | Andr R. Gonalves, Arindam Banerjee, Fernando J. Von Zuben |
| 2017 | CIKM | Recommendation with Capacity Constraints. | Konstantina Christakopoulou, Jaya Kawale, Arindam Banerjee |
| 2017 | ICDM | High-Dimensional Dependency Structure Learning for Physical Processes. | Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee |
| 2017 | ICDM | Scalable Algorithms for Locally Low-Rank Matrix Modeling. | Qilong Gu, Joshua D. Trzasko, Arindam Banerjee |
| 2017 | ICML | Robust Structured Estimation with Single-Index Models. | Sheng Chen, Arindam Banerjee |
| 2017 | ICML | High-Dimensional Structured Quantile Regression. | Vidyashankar Sivakumar, Arindam Banerjee |
| 2016 | AAAI | Understanding Dominant Factors for Precipitation over the Great Lakes Region. | Soumyadeep Chatterjee, Stefan Liess, Arindam Banerjee, Vipin Kumar |
| 2016 | ICML | Generalized Direct Change Estimation in Ising Model Structure. | Farideh Fazayeli, Arindam Banerjee |
| 2016 | ICML | Estimating Structured Vector Autoregressive Models. | Igor Melnyk, Arindam Banerjee |
| 2016 | KDD | Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems. | Igor Melnyk, Arindam Banerjee, Bryan L. Matthews, Nikunj C. Oza |
| 2016 | Mobisys | Poster: Deep Learning Enabled M2M Gateway for Network Optimization. | Shivashankar Subramanian, Arindam Banerjee |
| 2016 | VLSID | Squaring in Reversible Logic Using Zero Garbage and Reduced Ancillary Inputs. | Arindam Banerjee, Debesh Kumar Das |
| 2016 | SDM | High Dimensional Structured Estimation with Noisy Designs. | Amir Asiaee T., Soumyadeep Chatterjee, Arindam Banerjee |
| 2015 | AISTATS | One-bit Compressed Sensing with the k-Support Norm. | Sheng Chen, Arindam Banerjee |
| 2015 | AISTATS | A Spectral Algorithm for Inference in Hidden semi-Markov Models. | Igor Melnyk, Arindam Banerjee |
| 2015 | CCGRID | Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective. | Chen Jin, Qiang Fu, Huahua Wang, William Hendrix, Zhengzhang Chen, Ankit Agrawal, Arindam Banerjee, Alok N. Choudhary |
| 2015 | COLT | Open Problem: Restricted Eigenvalue Condition for Heavy Tailed Designs. | Arindam Banerjee, Sheng Chen, Vidyashankar Sivakumar |
| 2015 | IJCAI | Multi-Label Structure Learning with Ising Model Selection. | Andr R. Gonalves, Fernando J. Von Zuben, Arindam Banerjee |
| 2015 | KDD | Structured Hedging for Resource Allocations with Leverage. | Nicholas Johnson, Arindam Banerjee |
| 2015 | KDD | Accelerated Alternating Direction Method of Multipliers. | Mojtaba Kadkhodaie, Konstantina Christakopoulou, Maziar Sanjabi, Arindam Banerjee |
| 2015 | WWW | Collaborative Ranking with a Push at the Top. | Konstantina Christakopoulou, Arindam Banerjee |
| 2015 | UAI | Revisiting Non-Progressive Influence Models: Scalable Influence Maximization in Social Networks. | Golshan Golnari, Amir Asiaee T., Arindam Banerjee, Zhi-Li Zhang |
| 2015 | SDM | Online Resource Allocation with Structured Diversification. | Nicholas Johnson, Arindam Banerjee |
| 2015 | SDM | PLUMS: Predicting Links Using Multiple Sources. | Karthik Subbian, Arindam Banerjee, Sugato Basu |
| 2014 | AAAI | Online Portfolio Selection with Group Sparsity. | Puja Das, Nicholas Johnson, Arindam Banerjee |
| 2014 | AISTATS | Gaussian Copula Precision Estimation with Missing Values. | Huahua Wang, Farideh Fazayeli, Soumyadeep Chatterjee, Arindam Banerjee |
| 2014 | CIKM | Multi-task Sparse Structure Learning. | Andr R. Gonalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee |
| 2014 | ICMLA | Uncertainty Quantified Matrix Completion Using Bayesian Hierarchical Matrix Factorization. | Farideh Fazayeli, Arindam Banerjee, Jens Kattge, Franziska Schrodt, Peter B. Reich |
| 2013 | AAAI | Online Lazy Updates for Portfolio Selection with Transaction Costs. | Puja Das, Nicholas Johnson, Arindam Banerjee |
| 2013 | ICDM | Detection of Precursors to Aviation Safety Incidents Due to Human Factors. | Igor Melnyk, Pranjul Yadav, Michael S. Steinbach, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee |
| 2013 | KDD | Solving combinatorial optimization problems using relaxed linear programming: a high performance computing perspective. | Chen Jin, Qiang Fu, Huahua Wang, Ankit Agrawal, William Hendrix, Wei-keng Liao, Md. Mostofa Ali Patwary, Arindam Banerjee, Alok N. Choudhary |
| 2013 | UAI | Bethe-ADMM for Tree Decomposition based Parallel MAP Inference. | Qiang Fu, Huahua Wang, Arindam Banerjee |
| 2013 | SDM | Bregman Divergences and Triangle Inequality. | Sreangsu Acharyya, Arindam Banerjee, Daniel Boley |
| 2013 | SDM | Climate Multi-model Regression Using Spatial Smoothing. | Karthik Subbian, Arindam Banerjee |
| 2012 | CIKM | If you are happy and you know it... tweet. | Amir Asiaee T., Mariano Tepper, Arindam Banerjee, Guillermo Sapiro |
| 2012 | ICML | Gap Filling in the Plant Kingdom - Trait Prediction Using Hierarchical Probabilistic Matrix Factorization. | Hanhuai Shan, Jens Kattge, Peter B. Reich, Arindam Banerjee, Franziska Schrodt, Markus Reichstein |
| 2012 | ICML | Online Alternating Direction Method. | Huahua Wang, Arindam Banerjee |
| 2012 | SDM | Sparse Group Lasso: Consistency and Climate Applications. | Soumyadeep Chatterjee, Karsten Steinhaeuser, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly |
| 2012 | SDM | Drought Detection of the Last Century: An MRF-based Approach. | Qiang Fu, Arindam Banerjee, Stefan Liess, Peter K. Snyder |
| 2012 | SDM | Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information. | Tinghui Zhou, Hanhuai Shan, Arindam Banerjee, Guillermo Sapiro |
| 2011 | CIKM | Emerging topic detection using dictionary learning. | Shiva Prasad Kasiviswanathan, Prem Melville, Arindam Banerjee, Vikas Sindhwani |
| 2011 | ICCV | Efficient similarity search for covariance matrices via the Jensen-Bregman LogDet Divergence. | Anoop Cherian, Suvrit Sra, Arindam Banerjee, Nikolaos Papanikolopoulos |
| 2011 | ICDM | Sparse Group Lasso for Regression on Land Climate Variables. | Soumyadeep Chatterjee, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly |
| 2011 | ICML | Probabilistic Matrix Addition. | Amrudin Agovic, Arindam Banerjee, Snigdhansu Chatterjee |
| 2011 | KDD | Meta optimization and its application to portfolio selection. | Puja Das, Arindam Banerjee |
| 2011 | KDD | Common component analysis for multiple covariance matrices. | Huahua Wang, Arindam Banerjee, Daniel Boley |
| 2010 | ICASSP | Sparsity-cognizant overlapping co-clustering for behavior inference in social networks. | Hao Zhu, Gonzalo Mateos, Georgios B. Giannakis, Nicholas D. Sidiropoulos, Arindam Banerjee |
| 2010 | ICDM | A Generalized Linear Threshold Model for Multiple Cascades. | Nishith Pathak, Arindam Banerjee, Jaideep Srivastava |
| 2010 | ICDM | Generalized Probabilistic Matrix Factorizations for Collaborative Filtering. | Hanhuai Shan, Arindam Banerjee |
| 2010 | UAI | Gaussian Process Topic Models. | Amrudin Agovic, Arindam Banerjee |
| 2010 | SDM | Residual Bayesian Co-clustering for Matrix Approximation. | Hanhuai Shan, Arindam Banerjee |
| 2009 | ALT | Approximation Algorithms for Tensor Clustering. | Stefanie Jegelka, Suvrit Sra, Arindam Banerjee |
| 2009 | ICDM | Bayesian Overlapping Subspace Clustering. | Qiang Fu, Arindam Banerjee |
| 2009 | ICDM | Discriminative Mixed-Membership Models. | Hanhuai Shan, Arindam Banerjee, Nikunj C. Oza |
| 2009 | SDM | Bayesian Cluster Ensembles. | Hongjun Wang, Hanhuai Shan, Arindam Banerjee |
| 2008 | ICDM | Multiplicative Mixture Models for Overlapping Clustering. | Qiang Fu, Arindam Banerjee |
| 2008 | ICDM | Bayesian Co-clustering. | Hanhuai Shan, Arindam Banerjee |
| 2008 | PAKDD | I/O Scalable Bregman Co-clustering. | Kuo-Wei Hsu, Arindam Banerjee, Jaideep Srivastava |
| 2007 | ICDM | Latent Dirichlet Conditional Naive-Bayes Models. | Arindam Banerjee, Hanhuai Shan |
| 2007 | SDM | An Analysis of Logistic Models: Exponential Family Connections and Online Performance. | Arindam Banerjee |
| 2007 | SDM | Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning. | Arindam Banerjee, Sugato Basu |
| 2007 | SDM | Multi-way Clustering on Relation Graphs. | Arindam Banerjee, Sugato Basu, Srujana Merugu |
| 2006 | ICML | On Bayesian bounds. | Arindam Banerjee |
| 2005 | KDD | Model-based overlapping clustering. | Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney |
| 2004 | ICML | An information theoretic analysis of maximum likelihood mixture estimation for exponential families. | Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu |
| 2004 | ISIT | Optimal Bregman prediction and Jensen's equality. | Arindam Banerjee, Xin Guo, Hui Wang |
| 2004 | KDD | A generalized maximum entropy approach to bregman co-clustering and matrix approximation. | Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha |
| 2004 | KDD | An objective evaluation criterion for clustering. | Arindam Banerjee, John Langford |
| 2004 | SDM | Clustering with Bregman Divergences. | Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh |
| 2004 | SDM | Active Semi-Supervision for Pairwise Constrained Clustering. | Sugato Basu, Arindam Banerjee, Raymond J. Mooney |
| 2003 | IJCNN | Competitive learning mechanisms for scalable, incremental and balanced clustering of streaming texts. | Arindam Banerjee, Joydeep Ghosh |
| 2003 | KDD | Generative model-based clustering of directional data. | Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra |
| 2002 | ICML | Semi-supervised Clustering by Seeding. | Sugato Basu, Arindam Banerjee, Raymond J. Mooney |
| 2002 | SDM | On Scaling Up Balanced Clustering Algorithms. | Arindam Banerjee, Joydeep Ghosh |