Dhillon, Inderjit

23 publications

NeurIPS 2024 MatFormer: Nested Transformer for Elastic Inference Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham Kakade, Ali Farhadi, Prateek Jain

ICML 2020 Extreme Multi-Label Classification from Aggregated Labels Yanyao Shen, Hsiang-Fu Yu, Sujay Sanghavi, Inderjit Dhillon

ICML 2020 Learning to Encode Position for Transformer with Continuous Dynamical Model Xuanqing Liu, Hsiang-Fu Yu, Inderjit Dhillon, Cho-Jui Hsieh

AISTATS 2019 Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models Jiong Zhang, Parameswaran Raman, Shihao Ji, Hsiang-Fu Yu, S.V.N. Vishwanathan, Inderjit Dhillon

ICML 2018 Learning Long Term Dependencies via Fourier Recurrent Units Jiong Zhang, Yibo Lin, Zhao Song, Inderjit Dhillon

ICML 2018 Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization Jiong Zhang, Qi Lei, Inderjit Dhillon

ICML 2018 Towards Fast Computation of Certified Robustness for ReLU Networks Lily Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Luca Daniel, Duane Boning, Inderjit Dhillon

ICML 2016 A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery Ian En-Hsu Yen, Xin Lin, Jiong Zhang, Pradeep Ravikumar, Inderjit Dhillon

ICML 2016 Computationally Efficient Nyström Approximation Using Fast Transforms Si Si, Cho-Jui Hsieh, Inderjit Dhillon

ICML 2016 Optimal Classification with Multivariate Losses Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit Dhillon

ICML 2016 PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification Ian En-Hsu Yen, Xiangru Huang, Pradeep Ravikumar, Kai Zhong, Inderjit Dhillon

ICML 2016 Robust Principal Component Analysis with Side Information Kai-Yang Chiang, Cho-Jui Hsieh, Inderjit Dhillon

ICML 2016 Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families That Permit Positive Dependencies David Inouye, Pradeep Ravikumar, Inderjit Dhillon

ICML 2015 A Convex Exemplar-Based Approach to MAD-Bayes Dirichlet Process Mixture Models En-Hsu Yen, Xin Lin, Kai Zhong, Pradeep Ravikumar, Inderjit Dhillon

ICML 2015 PASSCoDe: Parallel ASynchronous Stochastic Dual Co-Ordinate Descent Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit Dhillon

ICML 2015 PU Learning for Matrix Completion Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit Dhillon

ICML 2015 Preference Completion: Large-Scale Collaborative Ranking from Pairwise Comparisons Dohyung Park, Joe Neeman, Jin Zhang, Sujay Sanghavi, Inderjit Dhillon

ICML 2014 A Divide-and-Conquer Solver for Kernel Support Vector Machines Cho-Jui Hsieh, Si Si, Inderjit Dhillon

ICML 2014 Admixture of Poisson MRFs: A Topic Model with Word Dependencies David Inouye, Pradeep Ravikumar, Inderjit Dhillon

ICML 2014 Large-Scale Multi-Label Learning with Missing Labels Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit Dhillon

ICML 2014 Memory Efficient Kernel Approximation Si Si, Cho-Jui Hsieh, Inderjit Dhillon

AISTATS 2009 Convex Perturbations for Scalable Semidefinite Programming Brian Kulis, Suvrit Sra, Inderjit Dhillon

JMLR 2007 A Generalized Maximum Entropy Approach to Bregman Co-Clustering and Matrix Approximation Arindam Banerjee, Inderjit Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha