Inderjit S Dhillon

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