Arindam Banerjee

According to our database1, Arindam Banerjee authored at least 160 papers between 2002 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Gradient Boosted Flows.
CoRR, 2020

Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis.
CoRR, 2020

De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors.
CoRR, 2020

Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2019
Scalable algorithms for locally low-rank matrix modeling.
Knowl. Inf. Syst., 2019

Two-block vs. Multi-block ADMM: An empirical evaluation of convergence.
CoRR, 2019

Intelligent systems for geosciences: an essential research agenda.
Commun. ACM, 2019

Adversarial attacks on an oblivious recommender.
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

Sketched Iterative Algorithms for Structured Generalized Linear Models.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Arithmetic Circuits Using Reversible Logic: A Survey Report.
Proceedings of the Advanced Computing and Systems for Security, 2019

Interpretable Predictive Modeling for Climate Variables with Weighted Lasso.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Modeling Alzheimer's Disease Progression with Fused Laplacian Sparse Group Lasso.
ACM Trans. Knowl. Discov. Data, 2018

NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets.
SIGMOD Rec., 2018

Adversarial Recommendation: Attack of the Learned Fake Users.
CoRR, 2018

High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient.
CoRR, 2018

Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso.
Comput. Medical Imaging Graph., 2018

Stable Gradient Descent.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Time Series Deinterleaving of DNS Traffic.
Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

Learning to Interact with Users: A Collaborative-Bandit Approach.
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

DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora.
Proceedings of the IEEE International Conference on Data Mining, 2018

Sparse Linear Isotonic Models.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Topic Modeling on Health Journals With Regularized Variational Inference.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

Model-Based Clustering.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data.
IEEE Trans. Knowl. Data Eng., 2017

A Spectral Algorithm for Inference in Hidden semi-Markov Models.
J. Mach. Learn. Res., 2017

Enumerating all maximal biclusters in numerical datasets.
Inf. Sci., 2017

R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting.
CoRR, 2017

Recommendation under Capacity Constraints.
CoRR, 2017

Alternating Estimation for Structured High-Dimensional Multi-Response Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

High-Dimensional Structured Quantile Regression.
Proceedings of the 34th International Conference on Machine Learning, 2017

Robust Structured Estimation with Single-Index Models.
Proceedings of the 34th International Conference on Machine Learning, 2017

High-Dimensional Dependency Structure Learning for Physical Processes.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Recommendation with Capacity Constraints.
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
Fluid flow and particle transport in mechanically ventilated airways. Part I. Fluid flow structures.
Medical Biol. Eng. Comput., 2016

Fluid flow and particle transport in mechanically ventilated airways. Part II: particle transport.
Medical Biol. Eng. Comput., 2016

Multi-task Sparse Structure Learning with Gaussian Copula Models.
J. Mach. Learn. Res., 2016

Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems.
J. Aerosp. Inf. Syst., 2016

A New Squarer design with reduced area and delay.
IET Comput. Digit. Tech., 2016

Theory-guided Data Science: A New Paradigm for Scientific Discovery.
CoRR, 2016

Structured Stochastic Linear Bandits.
CoRR, 2016

Squaring in Reversible Logic Using Zero Garbage and Reduced Ancillary Inputs.
Proceedings of the 29th International Conference on VLSI Design and 15th International Conference on Embedded Systems, 2016

High Dimensional Structured Estimation with Noisy Designs.
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

High Dimensional Structured Superposition Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Structured Matrix Recovery via the Generalized Dantzig Selector.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Poster: Deep Learning Enabled M2M Gateway for Network Optimization.
Proceedings of the 14th Annual International Conference on Mobile Systems, 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

A new ALU architecture design using reversible logic.
Proceedings of the Sixth International Symposium on Embedded Computing and System Design, 2016

Estimating Structured Vector Autoregressive Models.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Generalized Direct Change Estimation in Ising Model Structure.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Understanding Dominant Factors for Precipitation over the Great Lakes Region.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
The Design of Reversible Signed Multiplier Using Ancient Indian Mathematics.
J. Low Power Electron., 2015

A Multitask Learning View on the Earth System Model Ensemble.
Comput. Sci. Eng., 2015

Collaborative Ranking with a Push at the Top.
Proceedings of the 24th International Conference on World Wide Web, 2015

Squarer design with reduced area and delay.
Proceedings of the 19th International Symposium on VLSI Design and Test, 2015

Revisiting Non-Progressive Influence Models: Scalable Influence Maximization in Social Networks.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

PLUMS: Predicting Links Using Multiple Sources.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Online Resource Allocation with Structured Diversification.
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

Unified View of Matrix Completion under General Structural Constraints.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Structured Estimation with Atomic Norms: General Bounds and Applications.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Accelerated Alternating Direction Method of Multipliers.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Structured Hedging for Resource Allocations with Leverage.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Multi-Label Structure Learning with Ising Model Selection.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Open Problem: Restricted Eigenvalue Condition for Heavy Tailed Designs.
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

One-bit Compressed Sensing with the k-Support Norm.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

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

A Fuzzy Logic Based Defense Mechanism against Distributed Denial of Services Attack in Cloud Environment.
Int. J. Commun. Networks Inf. Secur., 2014

Improved matrix multiplier design for high-speed digital signal processing applications.
IET Circuits Devices Syst., 2014

Randomized Block Coordinate Descent for Online and Stochastic Optimization.
CoRR, 2014

Enumerating all maximal biclusters in real-valued datasets.
CoRR, 2014

Revisiting Non-Progressive Influence Models: Scalable Influence Maximization.
CoRR, 2014

Theory-Guided Data Science for Climate Change.
Computer, 2014

Parallel Direction Method of Multipliers.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Bregman Alternating Direction Method of Multipliers.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Generalized Dantzig Selector: Application to the k-support norm.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Estimation with Norm Regularization.
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

Squaring in reversible logic using iterative structure.
Proceedings of the 2014 East-West Design & Test Symposium, 2014

Multi-task Sparse Structure Learning.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Gaussian Copula Precision Estimation with Missing Values.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Online Portfolio Selection with Group Sparsity.
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

Online Alternating Direction Method (longer version).
CoRR, 2013

Bethe-ADMM for Tree Decomposition based Parallel MAP Inference.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Climate Multi-model Regression Using Spatial Smoothing.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Bregman Divergences and Triangle Inequality.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Large Scale Distributed Sparse Precision Estimation.
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

The Design of Reversible Multiplier Using Ancient Indian Mathematics.
Proceedings of the 2013 International Symposium on Electronic System Design, 2013

Detection of Precursors to Aviation Safety Incidents Due to Human Factors.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Online Lazy Updates for Portfolio Selection with Transaction Costs.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Semisupervised Clustering.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
Anomaly Detection for Discrete Sequences: A Survey.
IEEE Trans. Knowl. Data Eng., 2012

Design of High Speed Vedic Multiplier for Decimal Number System.
Proceedings of the Progress in VLSI Design and Test - 16th International Symposium, 2012

Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Drought Detection of the Last Century: An MRF-based Approach.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Sparse Group Lasso: Consistency and Climate Applications.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Online L1-Dictionary Learning with Application to Novel Document Detection.
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

A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation.
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

Online Alternating Direction Method.
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

If you are happy and you know it... tweet.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Bayesian cluster ensembles.
Statistical Analysis and Data Mining, 2011

ASIC design of a high speed low power circuit for factorial calculation using ancient Vedic mathematics.
Microelectron. J., 2011

Mixed-membership naive Bayes models.
Data Min. Knowl. Discov., 2011

Common component analysis for multiple covariance matrices.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Meta optimization and its application to portfolio selection.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Vedic Divider: Novel Architecture (ASIC) for High Speed VLSI Applications.
Proceedings of the International Symposium on Electronic System Design, 2011

Probabilistic Matrix Addition.
Proceedings of the 28th International Conference on Machine Learning, 2011

Sparse Group Lasso for Regression on Land Climate Variables.
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

Emerging topic detection using dictionary learning.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Model-Based Clustering.
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

Gaussian Process Topic Models.
Proceedings of the UAI 2010, 2010

Residual Bayesian Co-clustering for Matrix Approximation.
Proceedings of the SIAM International Conference on Data Mining, 2010

Generalized Probabilistic Matrix Factorizations for Collaborative Filtering.
Proceedings of the ICDM 2010, 2010

A Generalized Linear Threshold Model for Multiple Cascades.
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

Anomaly detection: A survey.
ACM Comput. Surv., 2009

Discriminative Mixed-Membership Models.
Proceedings of the ICDM 2009, 2009

Bayesian Overlapping Subspace Clustering.
Proceedings of the ICDM 2009, 2009

Semi-supervised learning of user-preferred travel schedules.
Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

Approximation Algorithms for Tensor Clustering.
Proceedings of the Algorithmic Learning Theory, 20th International Conference, 2009

2008
Approximation Algorithms for Bregman Co-clustering and Tensor Clustering
CoRR, 2008

I/O Scalable Bregman Co-clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Bayesian Co-clustering.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Multiplicative Mixture Models for Overlapping Clustering.
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

Multi-way Clustering on Relation Graphs.
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

Latent Dirichlet Conditional Naive-Bayes Models.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
A clustering based approach to perceptual image hashing.
IEEE Trans. Inf. Forensics Secur., 2006

Scalable Clustering Algorithms with Balancing Constraints.
Data Min. Knowl. Discov., 2006

On Bayesian bounds.
Proceedings of the Machine Learning, 2006

Probabilistic Semi-Supervised Clustering with Constraints.
Proceedings of the Semi-Supervised Learning, 2006

2005
On the optimality of conditional expectation as a Bregman predictor.
IEEE Trans. Inf. Theory, 2005

Clustering with Bregman Divergences.
J. Mach. Learn. Res., 2005

Clustering on the Unit Hypersphere using von Mises-Fisher Distributions.
J. Mach. Learn. Res., 2005

Model-based overlapping clustering.
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

Active Semi-Supervision for Pairwise Constrained Clustering.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

An objective evaluation criterion for clustering.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Optimal Bregman prediction and Jensen's equality.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

An information theoretic analysis of maximum likelihood mixture estimation for exponential families.
Proceedings of the Machine Learning, 2004

2003
Generative model-based clustering of directional data.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

2002
On Scaling Up Balanced Clustering Algorithms.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Semi-supervised Clustering by Seeding.
Proceedings of the Machine Learning, 2002


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