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Inderjit S. Dhillon

40 papers · 2003–2023 · 8 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (23) 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (20) 🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (6) 🀝 Dynamic Duo (17) πŸ”¬ Deep Specialist (11) πŸ† Grand Slam 🌱 Topic Pioneer πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (5) ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (103) πŸš€ Conference Pioneer πŸ’Ž Century Club (40)

Conferences

NIPS (17) JMLR (11) ICML (5) AISTATS (3) AAAI (1) ICLR (1) IJCAI (1) UAI (1)

Top co-authors

Inderjit S Dhillon (17) Cho-jui Hsieh (14) Prateek Jain (9) Hsiang-Fu Yu (6) Ambuj Tewari (5) Pradeep K Ravikumar (4) Sujay Sanghavi (4) Pradeep K. Ravikumar (4) Brian Kulis (4) Arindam Banerjee (3)

Keywords

convex optimization (5) matrix completion (4) kernel matrix (4) low-rank matrix (4) sparse inverse covariance (3) metric learning (3) sparse optimization (3) multi-label classification (3) extreme multi-label classification (3) low-rank approximation (3) online learning (3) bregman divergence (3) gaussian markov random field (3) coordinate descent (2) information theory (2) mahalanobis distance (2) empirical risk minimization (2) dimensionality reduction (2) kernel learning (2) matrix factorization (2)

Papers

A Computationally Efficient Sparsified Online Newton Method NIPS 2023
Sample Efficiency of Data Augmentation Consistency Regularization AISTATS 2023
Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization NIPS 2023
Faster non-convex federated learning via global and local momentum UAI 2022
S3GC: Scalable Self-Supervised Graph Clustering NIPS 2022
ELIAS: End-to-End Learning to Index and Search in Large Output Spaces NIPS 2022
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent AISTATS 2022
Linear Bandit Algorithms with Sublinear Time Complexity ICML 2022
PECOS: Prediction for Enormous and Correlated Output Spaces JMLR 2022
Top-k eXtreme Contextual Bandits with Arm Hierarchy ICML 2021
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification NIPS 2021
Label Disentanglement in Partition-based Extreme Multilabel Classification NIPS 2021
DRONE: Data-aware Low-rank Compression for Large NLP Models NIPS 2021
Learning from eXtreme Bandit Feedback AAAI 2021
Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables AISTATS 2019
The Limitations of Adversarial Training and the Blind-Spot Attack ICLR 2019
Similarity Preserving Representation Learning for Time Series Clustering IJCAI 2019
Cost-Sensitive Learning with Noisy Labels JMLR 2018
Using Side Information to Reliably Learn Low-Rank Matrices from Missing and Corrupted Observations JMLR 2018
Memory Efficient Kernel Approximation JMLR 2017
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization ICML 2017
Gradient Boosted Decision Trees for High Dimensional Sparse Output ICML 2017
Recovery Guarantees for One-hidden-layer Neural Networks ICML 2017
Prediction and Clustering in Signed Networks: A Local to Global Perspective JMLR 2014
QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation JMLR 2014
A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NIPS 2012
Metric and Kernel Learning Using a Linear Transformation JMLR 2012
Greedy Algorithms for Structurally Constrained High Dimensional Problems NIPS 2011
Orthogonal Matching Pursuit with Replacement NIPS 2011
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NIPS 2011
Nearest Neighbor based Greedy Coordinate Descent NIPS 2011
Inductive Regularized Learning of Kernel Functions NIPS 2010
Guaranteed Rank Minimization via Singular Value Projection NIPS 2010
Matrix Completion from Power-Law Distributed Samples NIPS 2009
Low-Rank Kernel Learning with Bregman Matrix Divergences JMLR 2009
Online Metric Learning and Fast Similarity Search NIPS 2008
Differential Entropic Clustering of Multivariate Gaussians NIPS 2006
Clustering with Bregman Divergences JMLR 2005
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions JMLR 2005
A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification JMLR 2003