Arindam Banerjee

223 papers A* 58A 41B 5C 1Misc 1Journal 88Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gradual Fine-Tuning for Flow Matching Models. CoRR Gudrun Thorkelsdottir, Arindam Banerjee
2026	J	`jnl`	Model Predictive Control with Differentiable World Models for Offline Reinforcement Learning. CoRR Rohan Deb, Stephen J. Wright, Arindam Banerjee
2025	J	`jnl`	Beyond Johnson-Lindenstrauss: Uniform Bounds for Sketched Bilinear Forms. CoRR Rohan Deb, Qiaobo Li, Mayank Shrivastava, Arindam Banerjee
2025	A	`conf`	Computationally Efficient Methods for Invariant Feature Selection with Sparsity. UAI Jane Du, Arindam Banerjee
2025	A*	`conf`	Conservative Contextual Bandits: Beyond Linear Representations. ICLR Rohan Deb, Mohammad Ghavamzadeh, Arindam Banerjee
2025	J	`jnl`	Geospatial Machine Learning Libraries. CoRR Adam J. Stewart, Caleb Robinson, Arindam Banerjee
2025	A	`conf`	Loss Gradient Gaussian Width based Generalization and Optimization Guarantees. AISTATS Arindam Banerjee, Qiaobo Li, Yingxue Zhou
2025	A	`conf`	MSP-SR: Multi-Stage Probabilistic Generative Super Resolution with Scarce High-Resolution Data. UAI Ruike Zhu, Matthew Charles Weston, Hanwen Zhang, Arindam Banerjee
2025	J	`jnl`	Optimization and Generalization Guarantees for Weight Normalization. Trans. Mach. Learn. Res. Pedro Cisneros-Velarde, Zhijie Chen, Sanmi Koyejo, Arindam Banerjee
2025	A*	`conf`	Optimization for Neural Operators can Benefit from Width. ICML Pedro Cisneros-Velarde, Bhavesh Shrimali, Arindam Banerjee
2025	J	`jnl`	Optimization for Neural Operators can Benefit from Width. CoRR Pedro Cisneros-Velarde, Bhavesh Shrimali, Arindam Banerjee
2025	J	`jnl`	Sketched Gaussian Mechanism for Private Federated Learning. CoRR Qiaobo Li, Zhijie Chen, Arindam Banerjee
2025	J	`jnl`	TorchGeo: Deep Learning With Geospatial Data. ACM Trans. Spatial Algorithms Syst. Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
2025	J	`jnl`	Transfer learning for improved crop yield predictions in a cross-scale pathway: a case study for Brazilian national soybean. Int. J. Appl. Earth Obs. Geoinformation Jiaying Zhang, Kaiyu Guan, Zhangliang Chen, Yizhi Huang, Kejie Zhao, Bin Peng, Sheng Wang, Xiaocui Wu, Sibo Wang, Arindam Banerjee, Noemi Vergopolan, Rong Fu, Siyu Zhao, Joana Colussi
2024	J	`jnl`	AmbientFlow: Invertible generative models from incomplete, noisy measurements. Trans. Mach. Learn. Res. Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark A. Anastasio
2024	J	`jnl`	Conservative Contextual Bandits: Beyond Linear Representations. CoRR Rohan Deb, Mohammad Ghavamzadeh, Arindam Banerjee
2024	A*	`conf`	Contextual Bandits with Online Neural Regression. ICLR Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
2024	J	`jnl`	Loss Gradient Gaussian Width based Generalization and Optimization Guarantees. CoRR Arindam Banerjee, Qiaobo Li, Yingxue Zhou
2024	J	`jnl`	On the Generalizability of Foundation Models for Crop Type Mapping. CoRR Yi-Chia Chang, Adam J. Stewart, Favyen Bastani, Piper Wolters, Shreya Kannan, George R. Huber, Jingtong Wang, Arindam Banerjee
2024	J	`jnl`	Optimization and Generalization Guarantees for Weight Normalization. CoRR Pedro Cisneros-Velarde, Zhijie Chen, Sanmi Koyejo, Arindam Banerjee
2024	A*	`conf`	Robust Neural Contextual Bandit against Adversarial Corruptions. NeurIPS Yunzhe Qi, Yikun Ban, Arindam Banerjee, Jingrui He
2024	J	`jnl`	Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis. CoRR Zhijie Chen, Qiaobo Li, Arindam Banerjee
2024	A*	`conf`	Sketching for Distributed Deep Learning: A Sharper Analysis. NeurIPS Mayank Shrivastava, Berivan Isik, Qiaobo Li, Sanmi Koyejo, Arindam Banerjee
2024	A	`conf`	Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources. AISTATS Rohan Deb, Aadirupa Saha, Arindam Banerjee
2023	J	`jnl`	AmbientFlow: Invertible generative models from incomplete, noisy measurements. CoRR Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark A. Anastasio
2023	J	`jnl`	Contextual Bandits with Online Neural Regression. CoRR Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
2023	J	`jnl`	Neural Exploitation and Exploration of Contextual Bandits. CoRR Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
2023	A	`conf`	Neural tangent kernel at initialization: linear width suffices. UAI Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Mikhail Belkin
2023	A*	`conf`	Restricted Strong Convexity of Deep Learning Models with Smooth Activations. ICLR Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Mikhail Belkin
2023	A*	`conf`	SSL4EO-L: Datasets and Foundation Models for Landsat Imagery. NeurIPS Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
2023	J	`jnl`	SSL4EO-L: Datasets and Foundation Models for Landsat Imagery. CoRR Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
2022	A*	`conf`	EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. ICLR Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
2022	A*	`conf`	Improved Algorithms for Neural Active Learning. NeurIPS Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
2022	J	`jnl`	Improved Algorithms for Neural Active Learning. CoRR Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
2022	A*	`conf`	Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration. AAAI Sijie He, Xinyan Li, Laurie Trenary, Benjamin A. Cash, Timothy DelSole, Arindam Banerjee
2022	A	`conf`	Noisy Truncated SGD: Optimization and Generalization. SDM Yingxue Zhou, Xinyan Li, Arindam Banerjee
2022	A	`ed.`	Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, Alexandria, VA, USA, April 28-30, 2022 SDM Arindam Banerjee, Zhi-Hua Zhou, Evangelos E. Papalexakis, Matteo Riondato
2022	J	`jnl`	Restricted Strong Convexity of Deep Learning Models with Smooth Activations. CoRR Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Mikhail Belkin
2022	A*	`conf`	Smoothed Adversarial Linear Contextual Bandits with Knapsacks. ICML Vidyashankar Sivakumar, Shiliang Zuo, Arindam Banerjee
2022	A*	`conf`	Stability Based Generalization Bounds for Exponential Family Langevin Dynamics. ICML Arindam Banerjee, Tiancong Chen, Xinyan Li, Yingxue Zhou
2022	J	`jnl`	Stability Based Generalization Bounds for Exponential Family Langevin Dynamics. CoRR Arindam Banerjee, Tiancong Chen, Xinyan Li, Yingxue Zhou
2022	—	`conf`	TorchGeo: deep learning with geospatial data. SIGSPATIAL/GIS Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
2021	A*	`conf`	Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification. ICLR Yingxue Zhou, Steven Wu, Arindam Banerjee
2021	J	`jnl`	EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. CoRR Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
2021	J	`jnl`	Experiments with Rich Regime Training for Deep Learning. CoRR Xinyan Li, Arindam Banerjee
2021	J	`jnl`	Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration. CoRR Sijie He, Xinyan Li, Laurie Trenary, Benjamin A. Cash, Timothy DelSole, Arindam Banerjee
2021	J	`jnl`	Noisy Truncated SGD: Optimization and Generalization. CoRR Yingxue Zhou, Xinyan Li, Arindam Banerjee
2021	A*	`conf`	Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances. AAAI Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee
2021	A	`conf`	Subseasonal climate prediction in the western US using Bayesian spatial models. UAI Vishwak Srinivasan, Justin Khim, Arindam Banerjee, Pradeep Ravikumar
2021	A	`ed.`	The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event. AISTATS Arindam Banerjee, Kenji Fukumizu
2021	J	`jnl`	TorchGeo: deep learning with geospatial data. CoRR Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
2020	J	`jnl`	Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification. CoRR Yingxue Zhou, Zhiwei Steven Wu, Arindam Banerjee
2020	J	`jnl`	De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors. CoRR Arindam Banerjee, Tiancong Chen, Yingxue Zhou
2020	J	`jnl`	Gradient Boosted Flows. CoRR Robert A. Giaquinto, Arindam Banerjee
2020	A*	`conf`	Gradient Boosted Normalizing Flows. NeurIPS Robert A. Giaquinto, Arindam Banerjee
2020	A	`conf`	Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization. SDM Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee
2020	J	`jnl`	Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds. CoRR Yingxue Zhou, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Arindam Banerjee
2020	A*	`conf`	Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis. ICML Vidyashankar Sivakumar, Zhiwei Steven Wu, Arindam Banerjee
2020	J	`jnl`	Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis. CoRR Vidyashankar Sivakumar, Zhiwei Steven Wu, Arindam Banerjee
2020	J	`jnl`	Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances. CoRR Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee
2019	A	`conf`	Adversarial attacks on an oblivious recommender. RecSys Konstantina Christakopoulou, Arindam Banerjee
2019	J	`jnl`	Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization. CoRR Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee
2019	J	`jnl`	Intelligent systems for geosciences: an essential research agenda. Commun. ACM Yolanda Gil, Suzanne A. Pierce, Hassan A. Babaie, Arindam Banerjee, Kirk D. Borne, Gary S. Bust, Michelle Cheatham, Imme Ebert-Uphoff, Carla P. Gomes, Mary C. Hill, John D. Horel, Leslie Hsu, Jim Kinter, Craig A. Knoblock, David M. Krum, Vipin Kumar, Pierre F. J. Lermusiaux, Yan Liu, Chris North, Victor Pankratius, Shanan Peters, Beth Plale, Allen Pope, Sai Ravela, Juan Restrepo, Aaron J. Ridley, Hanan Samet, Shashi Shekhar
2019	A*	`conf`	Interpretable Predictive Modeling for Climate Variables with Weighted Lasso. AAAI Sijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee
2019	A*	`conf`	Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond. NeurIPS Arindam Banerjee, Qilong Gu, Vidyashankar Sivakumar, Zhiwei Steven Wu
2019	J	`jnl`	Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond. CoRR Arindam Banerjee, Qilong Gu, Vidyashankar Sivakumar, Zhiwei Steven Wu
2019	J	`jnl`	Scalable algorithms for locally low-rank matrix modeling. Knowl. Inf. Syst. Qilong Gu, Joshua D. Trzasko, Arindam Banerjee
2019	A*	`conf`	Sketched Iterative Algorithms for Structured Generalized Linear Models. IJCAI Qilong Gu, Arindam Banerjee
2019	J	`jnl`	Two-block vs. Multi-block ADMM: An empirical evaluation of convergence. CoRR André R. Gonçalves, Xiaoli Liu, Arindam Banerjee
2018	J	`jnl`	Adversarial Recommendation: Attack of the Learned Fake Users. CoRR Konstantina Christakopoulou, Arindam Banerjee
2018	A*	`conf`	An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression. NeurIPS Sheng Chen, Arindam Banerjee
2018	A*	`conf`	DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora. ICDM Robert A. Giaquinto, Arindam Banerjee
2018	J	`jnl`	DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora. CoRR Robert A. Giaquinto, Arindam Banerjee
2018	J	`jnl`	High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient. CoRR Amir Asiaee T., Samet Oymak, Kevin R. Coombes, Arindam Banerjee
2018	A	`conf`	Learning to Interact with Users: A Collaborative-Bandit Approach. SDM Konstantina Christakopoulou, Arindam Banerjee
2018	J	`jnl`	Modeling Alzheimer's Disease Progression with Fused Laplacian Sparse Group Lasso. ACM Trans. Knowl. Discov. Data Xiaoli Liu, Peng Cao, André R. Gonçalves, Dazhe Zhao, Arindam Banerjee
2018	J	`jnl`	Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso. Comput. Medical Imaging Graph. Xiaoli Liu, André R. Gonçalves, Peng Cao, Dazhe Zhao, Arindam Banerjee
2018	J	`jnl`	NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets. SIGMOD Rec. Lisa Singh, Amol Deshpande, Wenchao Zhou, Arindam Banerjee, Alex J. Bowers, Sorelle A. Friedler, H. V. Jagadish, George Karypis, Zoran Obradovic, Anil Vullikanti, Wangda Zuo
2018	A	`conf`	Sparse Linear Isotonic Models. AISTATS Sheng Chen, Arindam Banerjee
2018	A	`conf`	Stable Gradient Descent. UAI Yingxue Zhou, Sheng Chen, Arindam Banerjee
2018	—	`conf`	Time Series Deinterleaving of DNS Traffic. IEEE Symposium on Security and Privacy Workshops Amir Asiaee T., Hardik Goel, Shalini Ghosh, Vinod Yegneswaran, Arindam Banerjee
2018	J	`jnl`	Time Series Deinterleaving of DNS Traffic. CoRR Amir Asiaee T., Hardik Goel, Shalini Ghosh, Vinod Yegneswaran, Arindam Banerjee
2018	A*	`conf`	Topic Modeling on Health Journals With Regularized Variational Inference. AAAI Robert A. Giaquinto, Arindam Banerjee
2018	J	`jnl`	Topic Modeling on Health Journals with Regularized Variational Inference. CoRR Robert A. Giaquinto, Arindam Banerjee
2017	J	`jnl`	A Spectral Algorithm for Inference in Hidden semi-Markov Models. J. Mach. Learn. Res. Igor Melnyk, Arindam Banerjee
2017	—	`ch.`	Active Learning. Encyclopedia of Machine Learning and Data Mining Varun Chandola, Arindam Banerjee, Vipin Kumar
2017	—	`conf`	Alternating Estimation for Structured High-Dimensional Multi-Response Models. NIPS Sheng Chen, Arindam Banerjee
2017	J	`jnl`	Enumerating all maximal biclusters in numerical datasets. Inf. Sci. Rosana Veroneze, Arindam Banerjee, Fernando J. Von Zuben
2017	J	`jnl`	High Dimensional Structured Superposition Models. CoRR Qilong Gu, Arindam Banerjee
2017	A*	`conf`	High-Dimensional Dependency Structure Learning for Physical Processes. ICDM Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee
2017	J	`jnl`	High-Dimensional Dependency Structure Learning for Physical Processes. CoRR Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee
2017	A*	`conf`	High-Dimensional Structured Quantile Regression. ICML Vidyashankar Sivakumar, Arindam Banerjee
2017	—	`ch.`	Model-Based Clustering. Encyclopedia of Machine Learning and Data Mining Arindam Banerjee, Hanhuai Shan
2017	J	`jnl`	R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting. CoRR Hardik Goel, Igor Melnyk, Arindam Banerjee
2017	J	`jnl`	Recommendation under Capacity Constraints. CoRR Konstantina Christakopoulou, Jaya Kawale, Arindam Banerjee
2017	A	`conf`	Recommendation with Capacity Constraints. CIKM Konstantina Christakopoulou, Jaya Kawale, Arindam Banerjee
2017	A*	`conf`	Robust Structured Estimation with Single-Index Models. ICML Sheng Chen, Arindam Banerjee
2017	A*	`conf`	Scalable Algorithms for Locally Low-Rank Matrix Modeling. ICDM Qilong Gu, Joshua D. Trzasko, Arindam Banerjee
2017	A*	`conf`	Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning. AAAI André R. Gonçalves, Arindam Banerjee, Fernando J. Von Zuben
2017	J	`jnl`	Spatial Projection of Multiple Climate Variables using Hierarchical Multitask Learning. CoRR André R. Gonçalves, Arindam Banerjee, Fernando J. Von Zuben
2017	J	`jnl`	Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data. IEEE Trans. Knowl. Data Eng. Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
2016	A*	`conf`	Estimating Structured Vector Autoregressive Models. ICML Igor Melnyk, Arindam Banerjee
2016	A*	`conf`	Generalized Direct Change Estimation in Ising Model Structure. ICML Farideh Fazayeli, Arindam Banerjee
2016	J	`jnl`	Generalized Direct Change Estimation in Ising Model Structure. CoRR Farideh Fazayeli, Arindam Banerjee
2016	A	`conf`	High Dimensional Structured Estimation with Noisy Designs. SDM Amir Asiaee T., Soumyadeep Chatterjee, Arindam Banerjee
2016	—	`conf`	High Dimensional Structured Superposition Models. NIPS Qilong Gu, Arindam Banerjee
2016	J	`jnl`	Multi-task Sparse Structure Learning with Gaussian Copula Models. J. Mach. Learn. Res. André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee
2016	A*	`conf`	Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems. KDD Igor Melnyk, Arindam Banerjee, Bryan L. Matthews, Nikunj C. Oza
2016	J	`jnl`	Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection in Aviation Systems. CoRR Igor Melnyk, Arindam Banerjee, Bryan L. Matthews, Nikunj C. Oza
2016	—	`conf`	Structured Matrix Recovery via the Generalized Dantzig Selector. NIPS Sheng Chen, Arindam Banerjee
2016	J	`jnl`	Structured Stochastic Linear Bandits. CoRR Nicholas Johnson, Vidyashankar Sivakumar, Arindam Banerjee
2016	—	`conf`	The Matrix Generalized Inverse Gaussian Distribution: Properties and Applications. ECML/PKDD (1) Farideh Fazayeli, Arindam Banerjee
2016	J	`jnl`	Theory-guided Data Science: A New Paradigm for Scientific Discovery. CoRR Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
2016	A*	`conf`	Understanding Dominant Factors for Precipitation over the Great Lakes Region. AAAI Soumyadeep Chatterjee, Stefan Liess, Arindam Banerjee, Vipin Kumar
2016	J	`jnl`	Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems. J. Aerosp. Inf. Syst. Igor Melnyk, Bryan L. Matthews, Hamed Valizadegan, Arindam Banerjee, Nikunj C. Oza
2015	J	`jnl`	A Multitask Learning View on the Earth System Model Ensemble. Comput. Sci. Eng. André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee
2015	A	`conf`	A Spectral Algorithm for Inference in Hidden semi-Markov Models. AISTATS Igor Melnyk, Arindam Banerjee
2015	A*	`conf`	Accelerated Alternating Direction Method of Multipliers. KDD Mojtaba Kadkhodaie, Konstantina Christakopoulou, Maziar Sanjabi, Arindam Banerjee
2015	—	`conf`	Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs. NIPS Vidyashankar Sivakumar, Arindam Banerjee, Pradeep Ravikumar
2015	A*	`conf`	Collaborative Ranking with a Push at the Top. WWW Konstantina Christakopoulou, Arindam Banerjee
2015	J	`jnl`	Estimation with Norm Regularization. CoRR Arindam Banerjee, Sheng Chen, Farideh Fazayeli, Vidyashankar Sivakumar
2015	A*	`conf`	Multi-Label Structure Learning with Ising Model Selection. IJCAI André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee
2015	A	`conf`	One-bit Compressed Sensing with the k-Support Norm. AISTATS Sheng Chen, Arindam Banerjee
2015	A	`conf`	Online Resource Allocation with Structured Diversification. SDM Nicholas Johnson, Arindam Banerjee
2015	A*	`conf`	Open Problem: Restricted Eigenvalue Condition for Heavy Tailed Designs. COLT Arindam Banerjee, Sheng Chen, Vidyashankar Sivakumar
2015	A	`conf`	PLUMS: Predicting Links Using Multiple Sources. SDM Karthik Subbian, Arindam Banerjee, Sugato Basu
2015	A	`conf`	Revisiting Non-Progressive Influence Models: Scalable Influence Maximization in Social Networks. UAI Golshan Golnari, Amir Asiaee T., Arindam Banerjee, Zhi-Li Zhang
2015	B	`conf`	Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective. CCGRID Chen Jin, Qiang Fu, Huahua Wang, William Hendrix, Zhengzhang Chen, Ankit Agrawal, Arindam Banerjee, Alok N. Choudhary
2015	—	`conf`	Structured Estimation with Atomic Norms: General Bounds and Applications. NIPS Sheng Chen, Arindam Banerjee
2015	A*	`conf`	Structured Hedging for Resource Allocations with Leverage. KDD Nicholas Johnson, Arindam Banerjee
2015	—	`conf`	Unified View of Matrix Completion under General Structural Constraints. NIPS Suriya Gunasekar, Arindam Banerjee, Joydeep Ghosh
2014	J	`jnl`	A Spectral Algorithm for Inference in Hidden Semi-Markov Models. CoRR Igor Melnyk, Arindam Banerjee
2014	—	`conf`	Bregman Alternating Direction Method of Multipliers. NIPS Huahua Wang, Arindam Banerjee
2014	—	`ch.`	Discriminative Mixed Membership Models. Handbook of Mixed Membership Models and Their Applications Hanhuai Shan, Arindam Banerjee
2014	J	`jnl`	Enumerating all maximal biclusters in real-valued datasets. CoRR Rosana Veroneze, Arindam Banerjee, Fernando J. Von Zuben
2014	—	`conf`	Estimation with Norm Regularization. NIPS Arindam Banerjee, Sheng Chen, Farideh Fazayeli, Vidyashankar Sivakumar
2014	A	`conf`	Gaussian Copula Precision Estimation with Missing Values. AISTATS Huahua Wang, Farideh Fazayeli, Soumyadeep Chatterjee, Arindam Banerjee
2014	—	`conf`	Generalized Dantzig Selector: Application to the k-support norm. NIPS Soumyadeep Chatterjee, Sheng Chen, Arindam Banerjee
2014	J	`jnl`	Generalized Dantzig Selector: Application to the k-support norm. CoRR Soumyadeep Chatterjee, Sheng Chen, Arindam Banerjee
2014	A	`conf`	Multi-task Sparse Structure Learning. CIKM André R. Gonçalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee
2014	J	`jnl`	Multi-task Sparse Structure Learning. CoRR André R. Gonçalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee
2014	A*	`conf`	Online Portfolio Selection with Group Sparsity. AAAI Puja Das, Nicholas Johnson, Arindam Banerjee
2014	—	`conf`	Parallel Direction Method of Multipliers. NIPS Huahua Wang, Arindam Banerjee, Zhi-Quan Luo
2014	A	`ed.`	Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014 SDM Mohammed Javeed Zaki, Zoran Obradovic, Pang-Ning Tan, Arindam Banerjee, Chandrika Kamath, Srinivasan Parthasarathy
2014	J	`jnl`	Randomized Block Coordinate Descent for Online and Stochastic Optimization. CoRR Huahua Wang, Arindam Banerjee
2014	J	`jnl`	Revisiting Non-Progressive Influence Models: Scalable Influence Maximization. CoRR Golshan Golnari, Amir Asiaee T., Arindam Banerjee, Zhi-Li Zhang
2014	J	`jnl`	Theory-Guided Data Science for Climate Change. Computer James H. Faghmous, Arindam Banerjee, Shashi Shekhar, Michael S. Steinbach, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova
2014	C	`conf`	Uncertainty Quantified Matrix Completion Using Bayesian Hierarchical Matrix Factorization. ICMLA Farideh Fazayeli, Arindam Banerjee, Jens Kattge, Franziska Schrodt, Peter B. Reich
2013	A	`conf`	Bethe-ADMM for Tree Decomposition based Parallel MAP Inference. UAI Qiang Fu, Huahua Wang, Arindam Banerjee
2013	J	`jnl`	Bethe-ADMM for Tree Decomposition based Parallel MAP Inference. CoRR Qiang Fu, Huahua Wang, Arindam Banerjee
2013	J	`jnl`	Bregman Alternating Direction Method of Multipliers. CoRR Huahua Wang, Arindam Banerjee
2013	A	`conf`	Bregman Divergences and Triangle Inequality. SDM Sreangsu Acharyya, Arindam Banerjee, Daniel Boley
2013	—	`ch.`	Climate Informatics. Computational Intelligent Data Analysis for Sustainable Development Claire Monteleoni, Gavin A. Schmidt, Francis J. Alexander, Alexandru Niculescu-Mizil, Karsten Steinhaeuser, Michael K. Tippett, Arindam Banerjee, M. Benno Blumenthal, Auroop R. Ganguly, Jason E. Smerdon, Marco Tedesco
2013	A	`conf`	Climate Multi-model Regression Using Spatial Smoothing. SDM Karthik Subbian, Arindam Banerjee
2013	—	`ch.`	Computational Data Sciences for Actionable Insights on Climate Extremes and Uncertainty. Computational Intelligent Data Analysis for Sustainable Development Auroop R. Ganguly, Evan Kodra, Snigdhansu Chatterjee, Arindam Banerjee, Habib N. Najm
2013	—	`conf`	Detection of Precursors to Aviation Safety Incidents Due to Human Factors. ICDM Workshops Igor Melnyk, Pranjul Yadav, Michael S. Steinbach, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee
2013	J	`jnl`	Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices. IEEE Trans. Pattern Anal. Mach. Intell. Anoop Cherian, Suvrit Sra, Arindam Banerjee, Nikolaos Papanikolopoulos
2013	—	`conf`	Large Scale Distributed Sparse Precision Estimation. NIPS Huahua Wang, Arindam Banerjee, Cho-Jui Hsieh, Pradeep Ravikumar, Inderjit S. Dhillon
2013	J	`jnl`	Online Alternating Direction Method (longer version). CoRR Huahua Wang, Arindam Banerjee
2013	A*	`conf`	Online Lazy Updates for Portfolio Selection with Transaction Costs. AAAI Puja Das, Nicholas Johnson, Arindam Banerjee
2013	—	`ch.`	Semisupervised Clustering. Data Clustering: Algorithms and Applications Amrudin Agovic, Arindam Banerjee
2013	—	`conf`	Solving combinatorial optimization problems using relaxed linear programming: a high performance computing perspective. BigMine Chen Jin, Qiang Fu, Huahua Wang, Ankit Agrawal, William Hendrix, Wei-keng Liao, Md. Mostofa Ali Patwary, Arindam Banerjee, Alok N. Choudhary
2012	—	`conf`	A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation. NIPS Cho-Jui Hsieh, Inderjit S. Dhillon, Pradeep Ravikumar, Arindam Banerjee
2012	J	`jnl`	Anomaly Detection for Discrete Sequences: A Survey. IEEE Trans. Knowl. Data Eng. Varun Chandola, Arindam Banerjee, Vipin Kumar
2012	A	`conf`	Drought Detection of the Last Century: An MRF-based Approach. SDM Qiang Fu, Arindam Banerjee, Stefan Liess, Peter K. Snyder
2012	A*	`conf`	Gap Filling in the Plant Kingdom - Trait Prediction Using Hierarchical Probabilistic Matrix Factorization. ICML Hanhuai Shan, Jens Kattge, Peter B. Reich, Arindam Banerjee, Franziska Schrodt, Markus Reichstein
2012	J	`jnl`	Gaussian Process Topic Models CoRR Amrudin Agovic, Arindam Banerjee
2012	A	`conf`	If you are happy and you know it... tweet. CIKM Amir Asiaee T., Mariano Tepper, Arindam Banerjee, Guillermo Sapiro
2012	A	`conf`	Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information. SDM Tinghui Zhou, Hanhuai Shan, Arindam Banerjee, Guillermo Sapiro
2012	A*	`conf`	Online Alternating Direction Method. ICML Huahua Wang, Arindam Banerjee
2012	—	`conf`	Online L1-Dictionary Learning with Application to Novel Document Detection. NIPS Shiva Prasad Kasiviswanathan, Huahua Wang, Arindam Banerjee, Prem Melville
2012	A	`conf`	Sparse Group Lasso: Consistency and Climate Applications. SDM Soumyadeep Chatterjee, Karsten Steinhaeuser, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly
2011	J	`jnl`	Bayesian cluster ensembles. Stat. Anal. Data Min. Hongjun Wang, Hanhuai Shan, Arindam Banerjee
2011	A*	`conf`	Common component analysis for multiple covariance matrices. KDD Huahua Wang, Arindam Banerjee, Daniel Boley
2011	A*	`conf`	Efficient similarity search for covariance matrices via the Jensen-Bregman LogDet Divergence. ICCV Anoop Cherian, Suvrit Sra, Arindam Banerjee, Nikolaos Papanikolopoulos
2011	A	`conf`	Emerging topic detection using dictionary learning. CIKM Shiva Prasad Kasiviswanathan, Prem Melville, Arindam Banerjee, Vikas Sindhwani
2011	A*	`conf`	Meta optimization and its application to portfolio selection. KDD Puja Das, Arindam Banerjee
2011	J	`jnl`	Mixed-membership naive Bayes models. Data Min. Knowl. Discov. Hanhuai Shan, Arindam Banerjee
2011	A*	`conf`	Probabilistic Matrix Addition. ICML Amrudin Agovic, Arindam Banerjee, Snigdhansu Chatterjee
2011	—	`conf`	Sparse Group Lasso for Regression on Land Climate Variables. ICDM Workshops Soumyadeep Chatterjee, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly
2010	A*	`conf`	A Generalized Linear Threshold Model for Multiple Cascades. ICDM Nishith Pathak, Arindam Banerjee, Jaideep Srivastava
2010	—	`conf`	Analyzing Aviation Safety Reports: From Topic Modeling to Scalable Multi-Label Classification. CIDU Amrudin Agovic, Hanhuai Shan, Arindam Banerjee
2010	A	`conf`	Gaussian Process Topic Models. UAI Amrudin Agovic, Arindam Banerjee
2010	A*	`conf`	Generalized Probabilistic Matrix Factorizations for Collaborative Filtering. ICDM Hanhuai Shan, Arindam Banerjee
2010	J	`jnl`	Keep It Simple with Time: A Reexamination of Probabilistic Topic Detection Models. IEEE Trans. Pattern Anal. Mach. Intell. Qi He, Kuiyu Chang, Ee-Peng Lim, Arindam Banerjee
2010	—	`ch.`	Model-Based Clustering. Encyclopedia of Machine Learning Arindam Banerjee, Hanhuai Shan
2010	A	`conf`	Residual Bayesian Co-clustering for Matrix Approximation. SDM Hanhuai Shan, Arindam Banerjee
2010	Misc	`conf`	Sparsity-cognizant overlapping co-clustering for behavior inference in social networks. ICASSP Hao Zhu, Gonzalo Mateos, Georgios B. Giannakis, Nicholas D. Sidiropoulos, Arindam Banerjee
2009	J	`jnl`	Anomaly detection using manifold embedding and its applications in transportation corridors. Intell. Data Anal. Amrudin Agovic, Arindam Banerjee, Auroop R. Ganguly, Vladimir Protopopescu
2009	J	`jnl`	Anomaly detection: A survey. ACM Comput. Surv. Varun Chandola, Arindam Banerjee, Vipin Kumar
2009	B	`conf`	Approximation Algorithms for Tensor Clustering. ALT Stefanie Jegelka, Suvrit Sra, Arindam Banerjee
2009	A	`conf`	Bayesian Cluster Ensembles. SDM Hongjun Wang, Hanhuai Shan, Arindam Banerjee
2009	A*	`conf`	Bayesian Overlapping Subspace Clustering. ICDM Qiang Fu, Arindam Banerjee
2009	A*	`conf`	Discriminative Mixed-Membership Models. ICDM Hanhuai Shan, Arindam Banerjee, Nikunj C. Oza
2009	—	`conf`	Semi-supervised learning of user-preferred travel schedules. AAMAS (2) Amrudin Agovic, Maria L. Gini, Arindam Banerjee
2008	J	`jnl`	Approximation Algorithms for Bregman Co-clustering and Tensor Clustering CoRR Stefanie Jegelka, Suvrit Sra, Arindam Banerjee
2008	A*	`conf`	Bayesian Co-clustering. ICDM Hanhuai Shan, Arindam Banerjee
2008	B	`conf`	I/O Scalable Bregman Co-clustering. PAKDD Kuo-Wei Hsu, Arindam Banerjee, Jaideep Srivastava
2008	A*	`conf`	Multiplicative Mixture Models for Overlapping Clustering. ICDM Qiang Fu, Arindam Banerjee
2007	J	`jnl`	A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation. J. Mach. Learn. Res. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha
2007	A	`conf`	An Analysis of Logistic Models: Exponential Family Connections and Online Performance. SDM Arindam Banerjee
2007	A*	`conf`	Latent Dirichlet Conditional Naive-Bayes Models. ICDM Arindam Banerjee, Hanhuai Shan
2007	A	`conf`	Multi-way Clustering on Relation Graphs. SDM Arindam Banerjee, Sugato Basu, Srujana Merugu
2007	A	`conf`	Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning. SDM Arindam Banerjee, Sugato Basu
2006	J	`jnl`	A clustering based approach to perceptual image hashing. IEEE Trans. Inf. Forensics Secur. Vishal Monga, Arindam Banerjee, Brian L. Evans
2006	A*	`conf`	On Bayesian bounds. ICML Arindam Banerjee
2006	—	`ch.`	Probabilistic Semi-Supervised Clustering with Constraints. Semi-Supervised Learning Sugato Basu, Mikhail Bilenko, Arindam Banerjee, Raymond J. Mooney
2006	J	`jnl`	Scalable Clustering Algorithms with Balancing Constraints. Data Min. Knowl. Discov. Arindam Banerjee, Joydeep Ghosh
2005	J	`jnl`	Clustering on the Unit Hypersphere using von Mises-Fisher Distributions. J. Mach. Learn. Res. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra
2005	J	`jnl`	Clustering with Bregman Divergences. J. Mach. Learn. Res. Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh
2005	A*	`conf`	Model-based overlapping clustering. KDD Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney
2005	J	`jnl`	On the optimality of conditional expectation as a Bregman predictor. IEEE Trans. Inf. Theory Arindam Banerjee, Xin Guo, Hui Wang
2004	A*	`conf`	A generalized maximum entropy approach to bregman co-clustering and matrix approximation. KDD Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha
2004	A	`conf`	Active Semi-Supervision for Pairwise Constrained Clustering. SDM Sugato Basu, Arindam Banerjee, Raymond J. Mooney
2004	A*	`conf`	An information theoretic analysis of maximum likelihood mixture estimation for exponential families. ICML Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu
2004	A*	`conf`	An objective evaluation criterion for clustering. KDD Arindam Banerjee, John Langford
2004	A	`conf`	Clustering with Bregman Divergences. SDM Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh
2004	J	`jnl`	Frequency-sensitive competitive learning for scalable balanced clustering on high-dimensional hyperspheres. IEEE Trans. Neural Networks Arindam Banerjee, Joydeep Ghosh
2004	B	`conf`	Optimal Bregman prediction and Jensen's equality. ISIT Arindam Banerjee, Xin Guo, Hui Wang
2003	B	`conf`	Competitive learning mechanisms for scalable, incremental and balanced clustering of streaming texts. IJCNN Arindam Banerjee, Joydeep Ghosh
2003	A*	`conf`	Generative model-based clustering of directional data. KDD Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra
2002	A	`conf`	On Scaling Up Balanced Clustering Algorithms. SDM Arindam Banerjee, Joydeep Ghosh
2002	A*	`conf`	Semi-supervised Clustering by Seeding. ICML Sugato Basu, Arindam Banerjee, Raymond J. Mooney