Inderjit S Dhillon

Pyramidal Spectrum: Frequency-based Hierarchically Vector Quantized VAE for Videos WACV 2026 PyraTok: Language-Aligned Pyramidal Tokenizer for Video Understanding and Generation CVPR 2026 Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data ICML 2025 Large Language Models are Interpretable Learners ICLR 2025 LASER: Attention with Exponential Transformation ICML 2025 LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization ICLR 2025 Retraining with Predicted Hard Labels Provably Increases Model Accuracy ICML 2025 Combining Axes Preconditioners through Kronecker Approximation for Deep Learning ICLR 2024 Dual-Encoders for Extreme Multi-label Classification ICLR 2024 PRISM: A New Lens for Improved Color Understanding EMNLP 2024 Two-stage LLM Fine-tuning with Less Specialization and More Generalization ICLR 2024 A Computationally Efficient Sparsified Online Newton Method NeurIPS 2023 Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization NeurIPS 2023 ELIAS: End-to-End Learning to Index and Search in Large Output Spaces NeurIPS 2022 Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction ICLR 2022 S3GC: Scalable Self-Supervised Graph Clustering NeurIPS 2022 DRONE: Data-aware Low-rank Compression for Large NLP Models NeurIPS 2021 Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification NeurIPS 2021 Label Disentanglement in Partition-based Extreme Multilabel Classification NeurIPS 2021 AutoAssist: A Framework to Accelerate Training of Deep Neural Networks NeurIPS 2019 Inverting Deep Generative models, One layer at a time NeurIPS 2019 Primal-Dual Block Generalized Frank-Wolfe NeurIPS 2019 Provable Non-linear Inductive Matrix Completion NeurIPS 2019 Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting NeurIPS 2019 A Greedy Approach for Budgeted Maximum Inner Product Search NeurIPS 2017 Asynchronous Parallel Greedy Coordinate Descent NeurIPS 2016 Coordinate-wise Power Method NeurIPS 2016 Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain NeurIPS 2016 Mixed Linear Regression with Multiple Components NeurIPS 2016 Structured Sparse Regression via Greedy Hard Thresholding NeurIPS 2016 Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction NeurIPS 2016 Collaborative Filtering with Graph Information: Consistency and Scalable Methods NeurIPS 2015 Consistent Multilabel Classification NeurIPS 2015 Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial NeurIPS 2015 Matrix Completion with Noisy Side Information NeurIPS 2015 Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent NeurIPS 2015 Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs NeurIPS 2014 Consistent Binary Classification with Generalized Performance Metrics NeurIPS 2014 Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings NeurIPS 2014 Fast Prediction for Large-Scale Kernel Machines NeurIPS 2014 Multi-Scale Spectral Decomposition of Massive Graphs NeurIPS 2014 Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators NeurIPS 2014 QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NeurIPS 2014 Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NeurIPS 2014 BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NeurIPS 2013 Large Scale Distributed Sparse Precision Estimation NeurIPS 2013 Learning with Noisy Labels NeurIPS 2013 A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NeurIPS 2012 Greedy Algorithms for Structurally Constrained High Dimensional Problems NeurIPS 2011 Nearest Neighbor based Greedy Coordinate Descent NeurIPS 2011 Orthogonal Matching Pursuit with Replacement NeurIPS 2011 Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NeurIPS 2011 Guaranteed Rank Minimization via Singular Value Projection NeurIPS 2010 Inductive Regularized Learning of Kernel Functions NeurIPS 2010 Matrix Completion from Power-Law Distributed Samples NeurIPS 2009 Online Metric Learning and Fast Similarity Search NeurIPS 2008 Differential Entropic Clustering of Multivariate Gaussians NeurIPS 2006