# Arindam Banerjee

According to our database

Collaborative distances:

^{1}, Arindam Banerjee authored at least 144 papers between 2002 and 2021.Collaborative distances:

## Timeline

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Book In proceedings Article PhD thesis Other## Links

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## Bibliography

2021

CoRR, 2021

CoRR, 2021

2020

Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification.

CoRR, 2020

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

CoRR, 2020

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

CoRR, 2020

CoRR, 2020

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

CoRR, 2020

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Knowl. Inf. Syst., 2019

CoRR, 2019

Commun. ACM, 2019

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

ACM Trans. Knowl. Discov. Data, 2018

SIGMOD Rec., 2018

CoRR, 2018

CoRR, 2018

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

Comput. Medical Imaging Graph., 2018

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

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

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Proceedings of the IEEE International Conference on Data Mining, 2018

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

IEEE Trans. Knowl. Data Eng., 2017

J. Mach. Learn. Res., 2017

Inf. Sci., 2017

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

CoRR, 2017

CoRR, 2017

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Proceedings of the 34th International Conference on Machine Learning, 2017

Proceedings of the 34th International Conference on Machine Learning, 2017

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning.

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

J. Mach. Learn. Res., 2016

J. Aerosp. Inf. Syst., 2016

CoRR, 2016

CoRR, 2016

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

The Matrix Generalized Inverse Gaussian Distribution: Properties and Applications.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

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

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Proceedings of the 33nd International Conference on Machine Learning, 2016

Proceedings of the 33nd International Conference on Machine Learning, 2016

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Comput. Sci. Eng., 2015

Proceedings of the 24th International Conference on World Wide Web, 2015

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

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

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

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Proceedings of The 28th Conference on Learning Theory, 2015

Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective.

Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

CoRR, 2014

CoRR, 2014

CoRR, 2014

Computer, 2014

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Uncertainty Quantified Matrix Completion Using Bayesian Hierarchical Matrix Factorization.

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

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

IEEE Trans. Pattern Anal. Mach. Intell., 2013

CoRR, 2013

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Solving combinatorial optimization problems using relaxed linear programming: a high performance computing perspective.

Proceedings of the 2nd International Workshop on Big Data, 2013

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Semisupervised Clustering.

Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012

IEEE Trans. Knowl. Data Eng., 2012

Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information.

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Proceedings of the 29th International Conference on Machine Learning, 2012

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

Proceedings of the 29th International Conference on Machine Learning, 2012

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Stat. Anal. Data Min., 2011

Data Min. Knowl. Discov., 2011

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Proceedings of the 28th International Conference on Machine Learning, 2011

Proceedings of the Data Mining Workshops (ICDMW), 2011

Efficient similarity search for covariance matrices via the Jensen-Bregman LogDet Divergence.

Proceedings of the IEEE International Conference on Computer Vision, 2011

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Proceedings of the Encyclopedia of Machine Learning, 2010

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

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Proceedings of the UAI 2010, 2010

Proceedings of the SIAM International Conference on Data Mining, 2010

Proceedings of the ICDM 2010, 2010

Proceedings of the ICDM 2010, 2010

Sparsity-cognizant overlapping co-clustering for behavior inference in social networks.

Proceedings of the IEEE International Conference on Acoustics, 2010

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

Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

2009

Anomaly detection using manifold embedding and its applications in transportation corridors.

Intell. Data Anal., 2009

ACM Comput. Surv., 2009

Proceedings of the ICDM 2009, 2009

Proceedings of the ICDM 2009, 2009

Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

Proceedings of the Algorithmic Learning Theory, 20th International Conference, 2009

2008

CoRR, 2008

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation.

J. Mach. Learn. Res., 2007

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

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

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

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

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

IEEE Trans. Inf. Forensics Secur., 2006

Data Min. Knowl. Discov., 2006

Proceedings of the Machine Learning, 2006

Proceedings of the Semi-Supervised Learning, 2006

2005

J. Mach. Learn. Res., 2005

J. Mach. Learn. Res., 2005

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

2004

Frequency-sensitive competitive learning for scalable balanced clustering on high-dimensional hyperspheres.

IEEE Trans. Neural Networks, 2004

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

An information theoretic analysis of maximum likelihood mixture estimation for exponential families.

Proceedings of the Machine Learning, 2004

2003

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

2002

Proceedings of the Second SIAM International Conference on Data Mining, 2002

Semi-supervised Clustering by Seeding.

Proceedings of the Machine Learning, 2002