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EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits


Oct 07, 2021
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He

* 19 pages 

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Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration


Sep 29, 2021
Sijie He, Xinyan Li, Laurie Trenary, Benjamin A Cash, Timothy DelSole, Arindam Banerjee


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Noisy Truncated SGD: Optimization and Generalization


Feb 26, 2021
Yingxue Zhou, Xinyan Li, Arindam Banerjee


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Experiments with Rich Regime Training for Deep Learning


Feb 26, 2021
Xinyan Li, Arindam Banerjee


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Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification


Jul 07, 2020
Yingxue Zhou, Zhiwei Steven Wu, Arindam Banerjee


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Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances


Jun 24, 2020
Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee


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Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds


Jun 24, 2020
Yingxue Zhou, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Arindam Banerjee


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Gradient Boosted Flows


Feb 27, 2020
Robert Giaquinto, Arindam Banerjee

* Under review 

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Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis


Feb 26, 2020
Vidyashankar Sivakumar, Zhiwei Steven Wu, Arindam Banerjee


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De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors


Feb 23, 2020
Arindam Banerjee, Tiancong Chen, Yingxue Zhou


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Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond


Oct 11, 2019
Arindam Banerjee, Qilong Gu, Vidyashankar Sivakumar, Zhiwei Steven Wu


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Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization


Jul 24, 2019
Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee


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Two-block vs. Multi-block ADMM: An empirical evaluation of convergence


Jul 10, 2019
Andre Goncalves, Xiaoli Liu, Arindam Banerjee


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DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora


Nov 03, 2018
Robert Giaquinto, Arindam Banerjee

* Published in IEEE International Conference on Data Mining, November 2018, Singapore 

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Adversarial Recommendation: Attack of the Learned Fake Users


Sep 21, 2018
Konstantina Christakopoulou, Arindam Banerjee


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Time Series Deinterleaving of DNS Traffic


Jul 16, 2018
Amir Asiaee, Hardik Goel, Shalini Ghosh, Vinod Yegneswaran, Arindam Banerjee


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High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient


Jun 15, 2018
Amir Asiaee, Samet Oymak, Kevin R. Coombes, Arindam Banerjee


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Topic Modeling on Health Journals with Regularized Variational Inference


Jan 15, 2018
Robert Giaquinto, Arindam Banerjee

* Published in Thirty-Second AAAI Conference on Artificial Intelligence, February 2018, New Orleans, Louisiana, USA 

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Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data


Nov 13, 2017
Anuj Karpatne, Gowtham Atluri, James Faghmous, Michael Steinbach, Arindam Banerjee, Auroop Ganguly, Shashi Shekhar, Nagiza Samatova, Vipin Kumar

* IEEE Transactions on Knowledge and Data Engineering, 29(10), pp.2318-2331. 2017 

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Sparse Linear Isotonic Models


Oct 16, 2017
Sheng Chen, Arindam Banerjee


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High-Dimensional Dependency Structure Learning for Physical Processes


Sep 12, 2017
Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee

* 21 pages, 8 figures, International Conference on Data Mining 2017 

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R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting


Sep 10, 2017
Hardik Goel, Igor Melnyk, Arindam Banerjee


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High Dimensional Structured Superposition Models


May 30, 2017
Qilong Gu, Arindam Banerjee


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Recommendation under Capacity Constraints


Mar 12, 2017
Konstantina Christakopoulou, Jaya Kawale, Arindam Banerjee

* Extended methods section and experimental section to include bayesian personalized ranking objective as well 

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Spatial Projection of Multiple Climate Variables using Hierarchical Multitask Learning


Jan 30, 2017
André R. Gonçalves, Arindam Banerjee, Fernando J. Von Zuben

* Accepted for the 31st AAAI Conference on Artificial Intelligence (AAAI-17) 

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The Matrix Generalized Inverse Gaussian Distribution: Properties and Applications


Aug 22, 2016
Farideh Fazayeli, Arindam Banerjee

* Updated Figure 3 

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Alternating Estimation for Structured High-Dimensional Multi-Response Models


Jun 29, 2016
Sheng Chen, Arindam Banerjee


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Structured Stochastic Linear Bandits


Jun 17, 2016
Nicholas Johnson, Vidyashankar Sivakumar, Arindam Banerjee


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Generalized Direct Change Estimation in Ising Model Structure


Jun 16, 2016
Farideh Fazayeli, Arindam Banerjee


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