Arindam Banerjee

Q: What Schools Are Affiliated With Arindam Banerjee

Arindam Banerjee is affiliated with the following schools: University of Minnesota, IIT Kharagpur, University of Virginia

Arindam Banerjee's AcademicInfluence.com Rankings

Arindam Banerjee

Computer Science

#5284

World Rank

#5582

Historical Rank

Data Mining

#98

World Rank

#98

Historical Rank

Machine Learning

#1341

World Rank

#1362

Historical Rank

Database

#2440

World Rank

#2557

Historical Rank

computer-science Degrees

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Computer Science

Arindam Banerjee's Degrees

PhD Computer Science Stanford University
Masters Computer Science Stanford University

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Arindam Banerjee's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Anomaly detection: A survey (2009) (9270)
Clustering with Bregman Divergences (2005) (1714)
Convex Analysis and Optimization (2006) (1292)
Semi-supervised Clustering by Seeding (2002) (961)
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions (2005) (888)
Submitted for Publication (1969) (695)
TRY plant trait database – enhanced coverage and open access (2019) (687)
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data (2016) (622)
Active Semi-Supervision for Pairwise Constrained Clustering (2004) (621)
Anomaly Detection for Discrete Sequences: A Survey (2012) (534)
A generalized maximum entropy approach to bregman co-clustering and matrix approximation (2004) (470)
Clickstream clustering using weighted longest common subsequences (2001) (251)
On the optimality of conditional expectation as a Bregman predictor (2005) (245)
Model-based overlapping clustering (2005) (228)
Bayesian Co-clustering (2008) (198)
Bregman Alternating Direction Method of Multipliers (2013) (188)
Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices (2013) (159)
Generalized Probabilistic Matrix Factorizations for Collaborative Filtering (2010) (159)
Online Alternating Direction Method (2012) (155)
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning (2007) (152)
Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information (2012) (152)
Mapping local and global variability in plant trait distributions (2017) (147)
Multi-way Clustering on Relation Graphs (2007) (144)
Social Topic Models for Community Extraction (2008) (144)
Bayesian cluster ensembles (2009) (142)
Emerging topic detection using dictionary learning (2011) (138)
BHPMF – a hierarchical Bayesian approach to gap-filling and trait prediction for macroecology and functional biogeography (2015) (129)
A clustering based approach to perceptual image hashing (2006) (127)
Generative model-based clustering of directional data (2003) (122)
Scalable Clustering Algorithms with Balancing Constraints (2006) (112)
Frequency-sensitive competitive learning for scalable balanced clustering on high-dimensional hyperspheres (2004) (103)
The regularity of powers of edge ideals (2014) (85)
Keep It Simple with Time: A Reexamination of Probabilistic Topic Detection Models (2010) (78)
Efficient similarity search for covariance matrices via the Jensen-Bregman LogDet Divergence (2011) (77)
On Bayesian bounds (2006) (75)
Sparse Group Lasso: Consistency and Climate Applications (2012) (74)
Probabilistic Semi-Supervised Clustering with Constraints (2006) (67)
Anomaly detection for symbolic sequences and time series data (2009) (64)
Estimation with Norm Regularization (2014) (62)
Accelerated Alternating Direction Method of Multipliers (2015) (59)
On Scaling Up Balanced Clustering Algorithms (2002) (58)
Multi-task Sparse Structure Learning with Gaussian Copula Models (2016) (57)
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification (2020) (57)
Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems (2016) (56)
Adversarial attacks on an oblivious recommender (2019) (55)
Online L1-Dictionary Learning with Application to Novel Document Detection (2012) (55)
Collaborative Ranking with a Push at the Top (2015) (54)
Parallel Direction Method of Multipliers (2014) (53)
Gap Filling in the Plant Kingdom - Trait Prediction Using Hierarchical Probabilistic Matrix Factorization (2012) (53)
Powers of edge ideals of regularity three bipartite graphs (2014) (51)
Multiplicative Mixture Models for Overlapping Clustering (2008) (50)
A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation (2012) (48)
Intelligent systems for geosciences (2018) (48)
A Social Query Model for Decentralized Search (2008) (48)
Estimating Structured Vector Autoregressive Models (2016) (48)
If you are happy and you know it... tweet (2012) (47)
Frequency sensitive competitive learning for clustering on high-dimensional hyperspheres (2002) (47)
Approximation Algorithms for Tensor Clustering (2009) (46)
Meta optimization and its application to portfolio selection (2011) (44)
Online Lazy Updates for Portfolio Selection with Transaction Costs (2013) (43)
Online Alternating Direction Method (longer version) (2013) (41)
Regularity of Edge Ideals and Their Powers (2017) (41)
Anomaly Detection in Transportation Corridors using Manifold Embedding (2007) (40)
Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques (2014) (40)
Randomized Block Coordinate Descent for Online and Stochastic Optimization (2014) (39)
Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization (2019) (37)
Multi-task Sparse Structure Learning (2014) (37)
Large Scale Distributed Sparse Precision Estimation (2013) (37)
Mixed-membership naive Bayes models (2011) (37)
An objective evaluation criterion for clustering (2004) (36)
Generalized Dantzig Selector: Application to the k-support norm (2014) (34)
Graph Connectivity and Binomial Edge Ideals (2016) (34)
An Analysis of Logistic Models: Exponential Family Connections and Online Performance (2007) (33)
Anomaly detection using manifold embedding and its applications in transportation corridors (2009) (32)
Bethe-ADMM for Tree Decomposition based Parallel MAP Inference (2013) (31)
An information theoretic analysis of maximum likelihood mixture estimation for exponential families (2004) (31)
Robustness of trait connections across environmental gradients and growth forms (2019) (30)
Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs (2015) (30)
Theory-Guided Data Science for Climate Change (2014) (29)
Drought Detection of the Last Century: An MRF-based Approach (2012) (28)
Bayesian Overlapping Subspace Clustering (2009) (27)
sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots (2020) (26)
Regularity of powers of edge ideals: from local properties to global bounds (2018) (25)
Bregman Divergences and Triangle Inequality (2013) (25)
R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting (2017) (24)
Climate Multi-model Regression Using Spatial Smoothing (2013) (24)
Generalized Direct Change Estimation in Ising Model Structure (2016) (24)
Online Portfolio Selection with Group Sparsity (2014) (24)
Gaussian Process Topic Models (2010) (24)
Statistical Seasonal Prediction Based on Regularized Regression (2017) (24)
Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso (2017) (23)
Gaussian Copula Precision Estimation with Missing Values (2014) (23)
Estimating Structured Vector Autoregressive Model (2016) (22)
Uncertainty Quantified Matrix Completion Using Bayesian Hierarchical Matrix Factorization (2014) (22)
Structured Estimation with Atomic Norms: General Bounds and Applications (2015) (22)
Detection of Precursors to Aviation Safety Incidents Due to Human Factors (2013) (21)
Frequency Sensitive Competitive Learning for Balanced Clustering on High-dimensional Hyperspheres (2004) (21)
Concept-based clustering of clickstream data (2000) (21)
Market Basket Analysis (2010) (21)
Modeling Alzheimer’s Disease Progression with Fused Laplacian Sparse Group Lasso (2018) (19)
Residual Bayesian Co-clustering for Matrix Approximation (2010) (18)
Sparse Group Lasso for Regression on Land Climate Variables (2011) (18)
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds (2020) (18)
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances (2020) (17)
Regression Model (2014) (16)
Climate Informatics (2013) (16)
Common component analysis for multiple covariance matrices (2011) (16)
Enumerating all maximal biclusters in numerical datasets (2014) (16)
Learning to Interact with Users: A Collaborative-Bandit Approach (2018) (15)
Recommendation with Capacity Constraints (2017) (15)
One-bit Compressed Sensing with the k-Support Norm (2015) (14)
Discriminative Mixed-Membership Models (2009) (14)
Alternating Estimation for Structured High-Dimensional Multi-Response Models (2016) (13)
Latent Dirichlet Conditional Naive-Bayes Models (2007) (13)
Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning (2017) (12)
A divide-and-conquer procedure for sparse inverse covariance estimation (2012) (12)
TR 11-026 Probabilistic Tensor Factorization for Tensor Completion (2011) (12)
Probabilistic Matrix Addition (2011) (12)
Structured Stochastic Linear Bandits (2016) (11)
Unified View of Matrix Completion under General Structural Constraints (2015) (11)
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis (2020) (11)
Approximation Algorithms for Bregman Clustering Co-clustering and Tensor Clustering (2008) (11)
Adversarial Recommendation: Attack of the Learned Fake Users (2018) (11)
Structured Matrix Recovery via the Generalized Dantzig Selector (2016) (10)
Regularity of Edge Ideals Via Suspension (2019) (10)
Competitive learning mechanisms for scalable, incremental and balanced clustering of streaming texts (2003) (10)
Multi-Label Structure Learning with Ising Model Selection (2015) (10)
Multivariate Aviation Time Series Modeling : VARs vs . LSTMs (2016) (9)
Mean Squared Error (2010) (9)
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits (2021) (9)
I/O Scalable Bregman Co-clustering (2008) (9)
High-Dimensional Structured Quantile Regression (2017) (8)
A Spectral Algorithm for Inference in Hidden semi-Markov Models (2014) (8)
The Matrix Generalized Inverse Gaussian Distribution: Properties and Applications (2016) (8)
Regularity of Path Ideals of Gap Free Graphs (2014) (7)
De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors (2020) (7)
Symmetrized Bregman Divergences and Metrics (2009) (7)
A Comprehensive Survey on Online Anomaly Detection (2015) (6)
Subseasonal climate prediction in the western US using Bayesian spatial models (2021) (6)
Analyzing Aviation Safety Reports: From Topic Modeling to Scalable Multi-Label Classification (2010) (6)
An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression (2018) (6)
Topic Modeling on Health Journals with Regularized Variational Inference (2018) (6)
TR 10017 Modeling Time Varying Covariance Matrices in Low Dimensions (2010) (6)
Approximation Algorithms for Bregman Co-clustering and Tensor Clustering (2008) (5)
Properties of Lyubeznik numbers under localization and polarization (2014) (5)
High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient (2018) (5)
Probabilistic graphical models for climate data analysis (2011) (5)
A Multitask Learning View on the Earth System Model Ensemble (2015) (5)
Enumerating all maximal biclusters in real-valued datasets (2014) (5)
Packing properties of cubic square-free monomial ideals (2019) (5)
Expectation Maximization for Clustering on Hyperspheres (2003) (5)
BII-Implementation: The causes and consequences of plant biodiversity across scales in a rapidly changing world (2021) (5)
Sparsity-cognizant overlapping co-clustering for behavior inference in social networks (2010) (5)
High Dimensional Structured Superposition Models (2017) (5)
Interpretable Predictive Modeling for Climate Variables with Weighted Lasso (2019) (4)
Jensen-Bregman LogDet Divergence for Efficient Similarity Computations on Positive Definite Tensors (2012) (4)
Robust Structured Estimation with Single-Index Models (2017) (4)
Solving combinatorial optimization problems using relaxed linear programming: a high performance computing perspective (2013) (4)
Stable Gradient Descent (2018) (3)
Sparse Linear Isotonic Models (2017) (3)
Trait prediction using hierarchical probabilistic matrix factorization. (2012) (3)
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond (2019) (3)
DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora (2018) (3)
PLUMS: Predicting Links Using Multiple Sources (2015) (3)
Data Enrichment : Multitask Learning in High Dimension with Theoretical Guarantees (2019) (3)
Structured Hedging for Resource Allocations with Leverage (2015) (3)
Online Resource Allocation with Structured Diversification (2015) (3)
NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets (2019) (3)
Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective (2015) (3)
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence (2019) (3)
Computational Data Sciences for Actionable Insights on Climate Extremes and Uncertainty (2013) (3)
Scalable algorithms for locally low-rank matrix modeling (2017) (3)
3 Probabilistic Semi-Supervised Clustering with Constraints (2006) (3)
Revisiting Non-Progressive Influence Models: Scalable Influence Maximization in Social Networks (2014) (3)
Improved Algorithms for Neural Active Learning (2022) (3)
Noisy Truncated SGD: Optimization and Generalization (2021) (2)
Equality of ordinary and symbolic powers of edge ideals of weighted oriented graphs (2021) (2)
Online Quadratically Constrained Convex Optimization with Applications to Risk Adjusted Portfolio Selection (2012) (2)
Restricted Strong Convexity of Deep Learning Models with Smooth Activations (2022) (2)
Generalized Hilbert-Kunz function of the Rees algebra of the face ring of a simplicial complex (2020) (2)
Edge ideals of Erd\"{o}s-R\'enyi random graphs : Linear resolution, unmixedness and regularity. (2020) (2)
The powers of unmixed bipartite edge ideals (2019) (2)
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics (2022) (2)
Gradient Boosted Normalizing Flows (2020) (2)
Generalized dantzig selector (2014) (2)
Railroad Laundry Service (2013) (1)
A Conceptual Overview of Structural Equation Modeling (2011) (1)
Discriminative Topic Models (2016) (1)
Bounds for the regularity of product of edge ideals (2019) (1)
Marketing in emerging economies (2017) (1)
Semi-supervised learning of user-preferred travel schedules (2009) (1)
Gradient Boosted Flows (2020) (1)
Symbolic powers of multipartite hypergraphs and Waldschmidt constant (2021) (1)
Towards understanding dominant processes in complex dynamical systems: case of precipitation extremes (2012) (1)
Understanding Dominant Factors for Precipitation over the Great Lakes Region (2016) (1)
Time Series Deinterleaving of DNS Traffic (2018) (1)
Preface to the Third IEEE ICDM Workshop on Knowledge Discovery from Climate Data (2011) (1)
Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012 (2012) (1)
If You are Happy and Know It . . . Tweet (2012) (1)
Semisupervised Clustering (2018) (1)
Recommendation under Capacity Constraints (2017) (1)
Outlier Detection -a Survey Outlier Detection -a Survey (2007) (1)
TR 10-011 StochColor : Stochastic Coloring based Graph Partitioning (2010) (0)
Mixture of Regression Models for Precipitation Prediction (2012) (0)
Missing Values (2010) (0)
Empirical analysis of generalization through augmentation for classifying images of vernacular handwritten texts (2020) (0)
Novel Document Detection using Online L 1-Dictionary Learning (2012) (0)
Alternating Direction Methods with Bregman Divergences (2012) (0)
On PAC-Bayesian Margin Bounds (2006) (0)
High-Dimensional Dependency Structure Learning for Physical Processes (2017) (0)
Mean Model Clustering (2007) (0)
Material to Robust Structured Estimation with Single-Index Models (2017) (0)
Adversarial Aacks on an Oblivious Recommender (2019) (0)
Meta Algorithms for Portfolio Selection Meta Algorithms for Portfolio Selection Meta Algorithms for Portfolio Selection (2010) (0)
Multi-Armed Bandit (2010) (0)
Predictive modeling using dimensionality reduction and dependency structures (2011) (0)
Open Problem: Restricted Eigenvalue Condition for Heavy Tailed Designs (2015) (0)
Spatiotemporal Predictive Modeling for Climate Science: Are we there yet? (2015) (0)
Structured Estimation in High Dimensions (2017) (0)
Scalable clustering algorithms (2005) (0)
Analyzing aviation safety reports (2010) (0)
High Dimensional Structured Estimation with Noisy Designs (2016) (0)
Powers and products of monomial ideals related to determinantal ideals of maximal minors (2019) (0)
Supplementary Material to Sparse Linear Isotonic Models (2018) (0)
Supplement : Large Scale Distributed Sparse Precision Estimation (2013) (0)
Editorial (2013) (0)
TR 08-034 Conditionally Positive Definite Kernels and Infinitely Divisible Distributions (2008) (0)
Cohen Macaulay Bipartite Graphs and Regular Element on the Powers of Bipartite Edge Ideals (2019) (0)
Multistrategy Ensemble Learning (2010) (0)
Characterizing Visitors to a WebsiteAcrossMultiple Sessions ArindamBanerjeeandJoydeepGhosh (2002) (0)
Active Learning (2017) (0)
Stock Portfolio Selection Using Two-tiered Lazy Updates (2014) (0)
Root traits in the TRY database (2014) (0)
Author index (1983) (0)
Structured Predictive Models for Climate Informatics (2015) (0)
Alternate Loss Functions Can Improve the Performance of Artificial Neural Networks (2023) (0)
Kernelized probabilistic matrix factorization (2012) (0)
Online Portfolio Balancing in Diverse Markets (2006) (0)
Structured Stochastic Linear Bandits ( DRAFT ) (2016) (0)
Editorial (2014) (0)
Editorial (2013) (0)
Analyzing information flow in social networks for knowledge discovery (2013) (0)
Model-Based Clustering (2010) (0)
TR 08-028 Bayesian Cluster Ensembles (2008) (0)
Editorial (2013) (0)
TR 09-015 Anomaly Detection for Discrete Sequences : A Survey (2009) (0)
Mapping local and global variability in plant\xmlpi{\\} trait distributions (2017) (0)
ROBUSTNESS AND SYNTHESIS OF EARTH SYSTEM MODELS ( ESMS ) : A MULTITASK LEARNING PERSPECTIVE (2017) (0)
Inter-stock Trend Prediction of Stock Market using Outlier Mining and Association Rule Mining (2017) (0)
Semi-Supervised Learning of User-Preferred Travel Schedules (Extended Abstract) (2009) (0)
Experiments with Rich Regime Training for Deep Learning (2021) (0)
Sketched Iterative Algorithms for Structured Generalized Linear Models (2019) (0)

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What Schools Are Affiliated With Arindam Banerjee?

Arindam Banerjee is affiliated with the following schools:

Arindam Banerjee's Academic­Influence.com Rankings

Arindam Banerjee's Degrees

Similar Degrees You Can Earn

Why Is Arindam Banerjee Influential?

Arindam Banerjee's Published Works

Published Works

What Schools Are Affiliated With Arindam Banerjee?

Arindam Banerjee's AcademicInfluence.com Rankings