A. Banerjee

Joydeep Ghosh, Arindam Banerjee, A. Banerjee, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Accelerated Alternating Direction Method of Multipliers

Konstantina Christakopoulou, Arindam Banerjee, Mojtaba Kadkhodaie, 2015, KDD.

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

Nagiza F. Samatova, Shashi Shekhar, Anuj Karpatne, 2016, IEEE Transactions on Knowledge and Data Engineering.

TRY plant trait database - enhanced coverage and open access.

Denis Bastianelli, Yuanzhi Li, Ben Somers, 2019, Global change biology.

Approximation Algorithms for Bregman Co-clustering and Tensor Clustering pdf

Suvrit Sra, Arindam Banerjee, Stefanie Jegelka, 2008, ArXiv.

Online Alternating Direction Method

Arindam Banerjee, Huahua Wang, A. Banerjee, 2012, ICML.

Anomaly detection using manifold embedding and its applications in transportation corridors

Arindam Banerjee, Vladimir Protopopescu, Amrudin Agovic, 2009, Intell. Data Anal..

Gradient Boosted Normalizing Flows

Robert Giaquinto, Arindam Banerjee, A. Banerjee, 2020, NeurIPS.

Gradient Boosted Flows pdf

Robert Giaquinto, Arindam Banerjee, A. Banerjee, 2020, ArXiv.

Anomaly Detection for Discrete Sequences: A Survey

Vipin Kumar, Varun Chandola, Arindam Banerjee, 2012, IEEE Transactions on Knowledge and Data Engineering.

TR 09-015 Anomaly Detection for Discrete Sequences : A Survey

Varun Chandola, Arindam Banerjee, V. Abhinau Kumar, 2009 .

Approximation Algorithms for Bregman Clustering Co-clustering and Tensor Clustering

Arindam Banerjee, Stefanie Jegelka, Suvrit Sra, 2008 .

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

Arindam Banerjee, Xiaoli Liu, Andre Goncalves, 2019, ArXiv.

Enumerating all maximal biclusters in numerical datasets

Fernando José Von Zuben, Arindam Banerjee, Rosana Veroneze, 2014, Inf. Sci..

Keep It Simple with Time: A Reexamination of Probabilistic Topic Detection Models

Qi He, Ee-Peng Lim, Arindam Banerjee, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Common component analysis for multiple covariance matrices

Daniel Boley, Arindam Banerjee, Huahua Wang, 2011, KDD.

Online Quadratically Constrained Convex Optimization with Applications to Risk Adjusted Portfolio Selection

Arindam Banerjee, Puja Das, A. Banerjee, 2012 .

Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems

Arindam Banerjee, Igor Melnyk, Nikunj C. Oza, 2016, J. Aerosp. Inf. Syst..

Outlier Detection -a Survey Outlier Detection -a Survey

Varun Chandola, Arindam Banerjee, A. Banerjee, 2007 .

Concept-based clustering of clickstream data

Arindam Banerjee, A. Banerjee, 2000 .

Characterizing Visitors to a WebsiteAcrossMultiple Sessions ArindamBanerjeeandJoydeepGhosh

A. Banerjee, Joydeep Ghosh, 2002 .

Clickstream clustering using weighted longest common subsequences

Arindam Banerjee, A. Banerjee, 2001 .

Equality of ordinary and symbolic powers of edge ideals of weighted oriented graphs

Arindam Banerjee, S. Selvaraja, Kanoy Kumar Das, 2021, Communications in Algebra.

Anomaly detection for symbolic sequences and time series data

Varun Chandola, Arindam Banerjee, Vipin Kumar, 2009 .

Online Portfolio Selection with Group Sparsity

Arindam Banerjee, Puja Das, Nicholas Johnson, 2014, AAAI.

Online Alternating Direction Method (longer version) pdf

Arindam Banerjee, Huahua Wang, A. Banerjee, 2013, ArXiv.

Modeling Alzheimer’s Disease Progression with Fused Laplacian Sparse Group Lasso

André R. Gonçalves, Dazhe Zhao, Xiaoli Liu, 2018, ACM Trans. Knowl. Discov. Data.

Understanding Dominant Factors for Precipitation over the Great Lakes Region

Vipin Kumar, Arindam Banerjee, Soumyadeep Chatterjee, 2016, AAAI.

Multi-task Sparse Structure Learning

Fernando José Von Zuben, Vidyashankar Sivakumar, Arindam Banerjee, 2014, CIKM.

High Dimensional Structured Estimation with Noisy Designs

Arindam Banerjee, Amir H. Asiaee, Soumyadeep Chatterjee, 2016, SDM.

Symbolic powers of multipartite hypergraphs and Waldschmidt constant

A. Banerjee, A. Alilooee, A. Banerjee, 2021, 2103.06468.

Active Semi-Supervision for Pairwise Constrained Clustering

Arindam Banerjee, Raymond J. Mooney, Sugato Basu, 2004, SDM.

A Conceptual Overview of Structural Equation Modeling

Arindam Banerjee, Tathagata Banerjee, Erina Paul, 2011 .

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

Pradeep Ravikumar, Arindam Banerjee, Sijie He, 2020, AAAI.

Mapping local and global variability in plant\xmlpi{\\} trait distributions

Nadejda A. Soudzilovskaia, A. Banerjee, P. Reich, 2017 .

Sparse Group Lasso: Consistency and Climate Applications

Snigdhansu Chatterjee, Arindam Banerjee, Karsten Steinhaeuser, 2012, SDM.

Gap Filling in the Plant Kingdom - Trait Prediction Using Hierarchical Probabilistic Matrix Factorization

Markus Reichstein, Arindam Banerjee, Franziska Schrodt, 2012, ICML.

PLUMS: Predicting Links Using Multiple Sources

Arindam Banerjee, Sugato Basu, Karthik Subbian, 2015, SDM.

sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots

Anne D. Bjorkman, Timothy J. S. Whitfeld, J. Janssen, 2020, Global Ecology and Biogeography.

Properties of Lyubeznik numbers under localization and polarization

A. Banerjee, Luis N'unez-Betancourt, Kohji Yanagawa, 2014, 1409.7144.

A Social Query Model for Decentralized Search

Arindam Banerjee, Sugato Basu, A. Banerjee, 2008 .

Intelligent systems for geosciences

Chris North, Suzanne A. Pierce, Mary C. Hill, 2018, Communications of the ACM.

Probabilistic graphical models for climate data analysis

Arindam Banerjee, A. Banerjee, 2011, CKD '11.

Scalable Clustering Algorithms with Balancing Constraints

Joydeep Ghosh, Arindam Banerjee, A. Banerjee, 2006, Data Mining and Knowledge Discovery.

A clustering based approach to perceptual image hashing

Vishal Monga, Arindam Banerjee, Brian L. Evans, 2006, IEEE Transactions on Information Forensics and Security.

Bounds for the regularity of product of edge ideals

A. Banerjee, Priya Das, S. Selvaraja, 2019, Algebraic Combinatorics.

The regularity of powers of edge ideals

A. Banerjee, 2014, 1406.0456.

Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices

Anoop Cherian, Nikolaos Papanikolopoulos, Suvrit Sra, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-way Clustering on Relation Graphs

Arindam Banerjee, Sugato Basu, Srujana Merugu, 2007, SDM.

Multi-task Sparse Structure Learning with Gaussian Copula Models

Fernando José Von Zuben, Arindam Banerjee, André Ricardo Gonçalves, 2016, J. Mach. Learn. Res..

An Analysis of Logistic Models: Exponential Family Connections and Online Performance

Arindam Banerjee, A. Banerjee, 2007, SDM.

On Bayesian bounds

Arindam Banerjee, A. Banerjee, 2006, ICML.

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

Zhiwei Steven Wu, Xiangyi Chen, Mingyi Hong, 2020, ArXiv.

R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting pdf

Arindam Banerjee, Igor Melnyk, Hardik Goel, 2017, ArXiv.

Generative model-based clustering of directional data

Inderjit S. Dhillon, Suvrit Sra, Joydeep Ghosh, 2003, KDD '03.

Multiplicative Mixture Models for Overlapping Clustering

Qiang Fu, Arindam Banerjee, A. Banerjee, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Sparse Group Lasso for Regression on Land Climate Variables

Snigdhansu Chatterjee, Arindam Banerjee, Auroop R. Ganguly, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Powers of edge ideals of regularity three bipartite graphs

A. Banerjee, A. Alilooee, 2014, 1408.2557.

Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information

Guillermo Sapiro, Arindam Banerjee, Tinghui Zhou, 2012, SDM.

An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression

Arindam Banerjee, Sheng Chen, A. Banerjee, 2018, NeurIPS.

Probabilistic Matrix Addition

Snigdhansu Chatterjee, Arindam Banerjee, Amrudin Agovic, 2011, ICML.

Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning

Arindam Banerjee, Sugato Basu, A. Banerjee, 2007, SDM.

Bayesian cluster ensembles

Arindam Banerjee, Hongjun Wang, Hanhuai Shan, 2009, Stat. Anal. Data Min..

Generalized Probabilistic Matrix Factorizations for Collaborative Filtering

Arindam Banerjee, Hanhuai Shan, A. Banerjee, 2010, 2010 IEEE International Conference on Data Mining.

Probabilistic Semi-Supervised Clustering with Constraints

Arindam Banerjee, Raymond J. Mooney, Sugato Basu, 2006, Semi-Supervised Learning.

BII-Implementation: The causes and consequences of plant biodiversity across scales in a rapidly changing world

A. Banerjee, P. Reich, P. Townsend, 2021 .

Drought Detection of the Last Century: An MRF-based Approach

Qiang Fu, Arindam Banerjee, Stefan Liess, 2012, SDM.

Revisiting Non-Progressive Influence Models: Scalable Influence Maximization in Social Networks

Zhi-Li Zhang, Arindam Banerjee, Golshan Golnari, 2014, UAI.

Robust Structured Estimation with Single-Index Models

Arindam Banerjee, Sheng Chen, A. Banerjee, 2017, ICML.

On the optimality of conditional expectation as a Bregman predictor

Xin Guo, Arindam Banerjee, Hui Wang, 2005, IEEE Trans. Inf. Theory.

Gaussian Process Topic Models

Arindam Banerjee, Amrudin Agovic, A. Banerjee, 2010, UAI.

Climate Multi-model Regression Using Spatial Smoothing

Arindam Banerjee, Karthik Subbian, A. Banerjee, 2013, SDM.

Adversarial attacks on an oblivious recommender

Konstantina Christakopoulou, Arindam Banerjee, A. Banerjee, 2019, RecSys.

Scalable algorithms for locally low-rank matrix modeling

Arindam Banerjee, Qilong Gu, Joshua Trzasko, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Experiments with Rich Regime Training for Deep Learning pdf

Arindam Banerjee, Xinyan Li, A. Banerjee, 2021, ArXiv.

Improved Algorithms for Neural Active Learning

A. Banerjee, Hanghang Tong, Yikun Ban, 2022, NeurIPS.

Learning to Interact with Users: A Collaborative-Bandit Approach

Konstantina Christakopoulou, Arindam Banerjee, A. Banerjee, 2018, SDM.

Neural Exploitation and Exploration of Contextual Bandits

A. Banerjee, Yikun Ban, Yuchen Yan, 2023, ArXiv.

Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis

Zhiwei Steven Wu, Vidyashankar Sivakumar, Arindam Banerjee, 2020, ICML.

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

Arindam Banerjee, Yingxue Zhou, Qilong Gu, 2019, SDM.

Randomized Block Coordinate Descent for Online and Stochastic Optimization pdf

Arindam Banerjee, Huahua Wang, A. Banerjee, 2014, ArXiv.

Regularity of Edge Ideals and Their Powers

Huy Tài Hà, A. Banerjee, Selvi Kara, 2017, Advances in Algebra.

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

Zhiwei Steven Wu, Vidyashankar Sivakumar, Qilong Gu, 2019, NeurIPS.

Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs

Pradeep Ravikumar, Vidyashankar Sivakumar, Arindam Banerjee, 2015, NIPS.

Anoop Cherian, Nikolaos Papanikolopoulos, Suvrit Sra, 2011, 2011 International Conference on Computer Vision.

Meta optimization and its application to portfolio selection

Arindam Banerjee, Puja Das, A. Banerjee, 2011, KDD.

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

Arindam Banerjee, Robert Giaquinto, A. Banerjee, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Topic Modeling on Health Journals with Regularized Variational Inference pdf

Arindam Banerjee, Robert Giaquinto, A. Banerjee, 2018, AAAI.

Mixed-membership naive Bayes models

Arindam Banerjee, Hanhuai Shan, A. Banerjee, 2011, Data Mining and Knowledge Discovery.

Analyzing Aviation Safety Reports: From Topic Modeling to Scalable Multi-Label Classification

Arindam Banerjee, Amrudin Agovic, Hanhuai Shan, 2010, CIDU.

Sketched Iterative Algorithms for Structured Generalized Linear Models

Qilong Gu, Arindam Banerjee, A. Banerjee, 2019, IJCAI.

Regression Model

Pabitra Mitra, Vidyashankar Sivakumar, Arindam Banerjee, 2014, Encyclopedia of Social Network Analysis and Mining.

Uncertainty Quantified Matrix Completion Using Bayesian Hierarchical Matrix Factorization

Arindam Banerjee, Farideh Fazayeli, Franziska Schrodt, 2014, 2014 13th International Conference on Machine Learning and Applications.

On Scaling Up Balanced Clustering Algorithms

Joydeep Ghosh, Arindam Banerjee, A. Banerjee, 2002, SDM.

Enumerating all maximal biclusters in real-valued datasets pdf

Fernando José Von Zuben, Arindam Banerjee, Rosana Veroneze, 2014, ArXiv.

Online Lazy Updates for Portfolio Selection with Transaction Costs

Arindam Banerjee, Puja Das, Nicholas Johnson, 2013, AAAI.

Bregman Divergences and Triangle Inequality

Daniel Boley, Arindam Banerjee, Sreangsu Acharyya, 2013, SDM.

Recommendation with Capacity Constraints

Konstantina Christakopoulou, Arindam Banerjee, Jaya Kawale, 2017, CIKM.

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

Arindam Banerjee, Samet Oymak, Kevin R. Coombes, 2018, ArXiv.

Alternating Estimation for Structured High-Dimensional Multi-Response Models

Arindam Banerjee, Sheng Chen, A. Banerjee, 2016, NIPS.

One-bit Compressed Sensing with the k-Support Norm

Arindam Banerjee, Sheng Chen, A. Banerjee, 2015, AISTATS.

Anomaly Detection in Transportation Corridors using Manifold Embedding

Arindam Banerjee, Auroop R. Ganguly, Amrudin Agovic, 2007 .

Collaborative Ranking with a Push at the Top

Konstantina Christakopoulou, Arindam Banerjee, A. Banerjee, 2015, WWW.

Structured Stochastic Linear Bandits ( DRAFT )

Vidyashankar Sivakumar, Arindam Banerjee, Nicholas Johnson, 2016 .

Sparse Linear Isotonic Models

Arindam Banerjee, Sheng Chen, A. Banerjee, 2017, AISTATS.

Anomaly detection: A survey

Vipin Kumar, A. Banerjee, V. Chandola, 2009, CSUR.

The Matrix Generalized Inverse Gaussian Distribution: Properties and Applications

Arindam Banerjee, Farideh Fazayeli, A. Banerjee, 2016, ECML/PKDD.

A Comprehensive Survey on Online Anomaly Detection

Christian Callegari, Stefano Giordano, Michele Pagano, 2015 .

Detection of Precursors to Aviation Safety Incidents Due to Human Factors

Jaideep Srivastava, Vipin Kumar, Pranjul Yadav, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Inter-stock Trend Prediction of Stock Market using Outlier Mining and Association Rule Mining

A. Banerjee, R. Goudar, V. Chandola, 2017 .

Structured Hedging for Resource Allocations with Leverage

Arindam Banerjee, Nicholas Johnson, A. Banerjee, 2015, KDD.

Bethe-ADMM for Tree Decomposition based Parallel MAP Inference pdf

Qiang Fu, Arindam Banerjee, Huahua Wang, 2013, UAI.

Online Resource Allocation with Structured Diversification

Arindam Banerjee, Nicholas Johnson, A. Banerjee, 2015, SDM.

Discriminative Mixed-Membership Models

A. Banerjee, N. Oza, Hanhuai Shan, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Sparse Group Lasso: Consistency and Climate Applications

A. Banerjee, K. Steinhaeuser, Snigdhansu Chatterjee, 2012, SDM.

Interpretable Predictive Modeling for Climate Variables with Weighted Lasso

Vidyashankar Sivakumar, Arindam Banerjee, Sijie He, 2019, AAAI.

Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso

A. Banerjee, Dazhe Zhao, Peng Cao, 2017, Comput. Medical Imaging Graph..

Theory-Guided Data Science for Climate Change

Nagiza F. Samatova, Shashi Shekhar, Vipin Kumar, 2014, Computer.

Spatiotemporal Predictive Modeling for Climate Science: Are we there yet?

A. Banerjee, 2015 .

Large Scale Distributed Sparse Precision Estimation

Pradeep Ravikumar, Inderjit S. Dhillon, Cho-Jui Hsieh, 2013, NIPS.

Structured Matrix Recovery via the Generalized Dantzig Selector

Arindam Banerjee, Sheng Chen, A. Banerjee, 2016, NIPS.

A Multitask Learning View on the Earth System Model Ensemble

Fernando José Von Zuben, Arindam Banerjee, André Ricardo Gonçalves, 2015, Computing in Science & Engineering.

Estimation with Norm Regularization

Vidyashankar Sivakumar, Arindam Banerjee, Sheng Chen, 2014, NIPS.

Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning pdf

Fernando José Von Zuben, Arindam Banerjee, André Ricardo Gonçalves, 2017, AAAI.

Residual Bayesian Co-clustering for Matrix Approximation

Arindam Banerjee, Hanhuai Shan, A. Banerjee, 2010, SDM.