More from the Same Authors

• 2022 : Differentially Private Federated Learning with Normalized Updates »
  Rudrajit Das · Abolfazl Hashemi · Sujay Sanghavi · Inderjit Dhillon
• 2022 Poster: S3GC: Scalable Self-Supervised Graph Clustering »
  Fnu Devvrit · Aditya Sinha · Inderjit Dhillon · Prateek Jain
• 2022 Poster: ELIAS: End-to-End Learning to Index and Search in Large Output Spaces »
  Nilesh Gupta · Patrick Chen · Hsiang-Fu Yu · Cho-Jui Hsieh · Inderjit Dhillon
• 2021 Poster: Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification »
  Jiong Zhang · Wei-Cheng Chang · Hsiang-Fu Yu · Inderjit Dhillon
• 2021 Poster: Label Disentanglement in Partition-based Extreme Multilabel Classification »
  Xuanqing Liu · Wei-Cheng Chang · Hsiang-Fu Yu · Cho-Jui Hsieh · Inderjit Dhillon
• 2021 Poster: DRONE: Data-aware Low-rank Compression for Large NLP Models »
  Patrick Chen · Hsiang-Fu Yu · Inderjit Dhillon · Cho-Jui Hsieh
• 2019 : Lunch Break and Posters »
  Xingyou Song · Elad Hoffer · Wei-Cheng Chang · Jeremy Cohen · Jyoti Islam · Yaniv Blumenfeld · Andreas Madsen · Jonathan Frankle · Sebastian Goldt · Satrajit Chatterjee · Abhishek Panigrahi · Alex Renda · Brian Bartoldson · Israel Birhane · Aristide Baratin · Niladri Chatterji · Roman Novak · Jessica Forde · YiDing Jiang · Yilun Du · Linara Adilova · Michael Kamp · Berry Weinstein · Itay Hubara · Tal Ben-Nun · Torsten Hoefler · Daniel Soudry · Hsiang-Fu Yu · Kai Zhong · Yiming Yang · Inderjit Dhillon · Jaime Carbonell · Yanqing Zhang · Dar Gilboa · Johannes Brandstetter · Alexander R Johansen · Gintare Karolina Dziugaite · Raghav Somani · Ari Morcos · Freddie Kalaitzis · Hanie Sedghi · Lechao Xiao · John Zech · Muqiao Yang · Simran Kaur · Qianli Ma · Yao-Hung Hubert Tsai · Ruslan Salakhutdinov · Sho Yaida · Zachary Lipton · Daniel Roy · Michael Carbin · Florent Krzakala · Lenka Zdeborová · Guy Gur-Ari · Ethan Dyer · Dilip Krishnan · Hossein Mobahi · Samy Bengio · Behnam Neyshabur · Praneeth Netrapalli · Kris Sankaran · Julien Cornebise · Yoshua Bengio · Vincent Michalski · Samira Ebrahimi Kahou · Md Rifat Arefin · Jiri Hron · Jaehoon Lee · Jascha Sohl-Dickstein · Samuel Schoenholz · David Schwab · Dongyu Li · Sang Keun Choe · Henning Petzka · Ashish Verma · Zhichao Lin · Cristian Sminchisescu
• 2019 Poster: Provable Non-linear Inductive Matrix Completion »
  Kai Zhong · Zhao Song · Prateek Jain · Inderjit Dhillon
• 2019 Poster: Inverting Deep Generative models, One layer at a time »
  Qi Lei · Ajil Jalal · Inderjit Dhillon · Alex Dimakis
• 2019 Poster: Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting »
  Rajat Sen · Hsiang-Fu Yu · Inderjit Dhillon
• 2019 Poster: AutoAssist: A Framework to Accelerate Training of Deep Neural Networks »
  Jiong Zhang · Hsiang-Fu Yu · Inderjit Dhillon
• 2019 Poster: Primal-Dual Block Generalized Frank-Wolfe »
  Qi Lei · JIACHENG ZHUO · Constantine Caramanis · Inderjit Dhillon · Alex Dimakis
• 2017 Poster: A Greedy Approach for Budgeted Maximum Inner Product Search »
  Hsiang-Fu Yu · Cho-Jui Hsieh · Qi Lei · Inderjit Dhillon
• 2016 Poster: Asynchronous Parallel Greedy Coordinate Descent »
  Yang You · Xiangru Lian · Ji Liu · Hsiang-Fu Yu · Inderjit Dhillon · James Demmel · Cho-Jui Hsieh
• 2016 Poster: Coordinate-wise Power Method »
  Qi Lei · Kai Zhong · Inderjit Dhillon
• 2016 Poster: Structured Sparse Regression via Greedy Hard Thresholding »
  Prateek Jain · Nikhil Rao · Inderjit Dhillon
• 2016 Poster: Mixed Linear Regression with Multiple Components »
  Kai Zhong · Prateek Jain · Inderjit Dhillon
• 2016 Poster: Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction »
  Hsiang-Fu Yu · Nikhil Rao · Inderjit Dhillon
• 2016 Poster: Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain »
  Ian En-Hsu Yen · Xiangru Huang · Kai Zhong · Ruohan Zhang · Pradeep Ravikumar · Inderjit Dhillon
• 2015 Workshop: Multiresolution methods for large-scale learning »
  Inderjit Dhillon · Risi Kondor · Rob Nowak · Michael O'Neil · Nedelina Teneva
• 2015 Poster: Matrix Completion with Noisy Side Information »
  Kai-Yang Chiang · Cho-Jui Hsieh · Inderjit Dhillon
• 2015 Poster: Collaborative Filtering with Graph Information: Consistency and Scalable Methods »
  Nikhil Rao · Hsiang-Fu Yu · Pradeep Ravikumar · Inderjit Dhillon
• 2015 Spotlight: Collaborative Filtering with Graph Information: Consistency and Scalable Methods »
  Nikhil Rao · Hsiang-Fu Yu · Pradeep Ravikumar · Inderjit Dhillon
• 2015 Spotlight: Matrix Completion with Noisy Side Information »
  Kai-Yang Chiang · Cho-Jui Hsieh · Inderjit Dhillon
• 2015 Poster: Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent »
  Ian En-Hsu Yen · Kai Zhong · Cho-Jui Hsieh · Pradeep Ravikumar · Inderjit Dhillon
• 2015 Poster: Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial »
  David I Inouye · Pradeep Ravikumar · Inderjit Dhillon
• 2015 Poster: Consistent Multilabel Classification »
  Oluwasanmi Koyejo · Nagarajan Natarajan · Pradeep Ravikumar · Inderjit Dhillon
• 2014 Poster: QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models »
  Cho-Jui Hsieh · Inderjit Dhillon · Pradeep Ravikumar · Stephen Becker · Peder A Olsen
• 2014 Poster: Consistent Binary Classification with Generalized Performance Metrics »
  Sanmi Koyejo · Nagarajan Natarajan · Pradeep Ravikumar · Inderjit Dhillon
• 2014 Poster: Fast Prediction for Large-Scale Kernel Machines »
  Cho-Jui Hsieh · Si Si · Inderjit Dhillon
• 2014 Poster: Multi-Scale Spectral Decomposition of Massive Graphs »
  Si Si · Donghyuk Shin · Inderjit Dhillon · Beresford N Parlett
• 2014 Poster: Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space »
  Ian En-Hsu Yen · Ting-Wei Lin · Shou-De Lin · Pradeep Ravikumar · Inderjit Dhillon
• 2014 Spotlight: Consistent Binary Classification with Generalized Performance Metrics »
  Sanmi Koyejo · Nagarajan Natarajan · Pradeep Ravikumar · Inderjit Dhillon
• 2014 Poster: Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators »
  Kai Zhong · Ian En-Hsu Yen · Inderjit Dhillon · Pradeep Ravikumar
• 2014 Poster: Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs »
  David I Inouye · Pradeep Ravikumar · Inderjit Dhillon
• 2014 Poster: Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings »
  Ian En-Hsu Yen · Cho-Jui Hsieh · Pradeep Ravikumar · Inderjit Dhillon
• 2013 Poster: BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables »
  Cho-Jui Hsieh · Matyas A Sustik · Inderjit Dhillon · Pradeep Ravikumar · Russell Poldrack
• 2013 Oral: BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables »
  Cho-Jui Hsieh · Matyas A Sustik · Inderjit Dhillon · Pradeep Ravikumar · Russell Poldrack
• 2013 Poster: Large Scale Distributed Sparse Precision Estimation »
  Huahua Wang · Arindam Banerjee · Cho-Jui Hsieh · Pradeep Ravikumar · Inderjit Dhillon
• 2013 Poster: Learning with Noisy Labels »
  Nagarajan Natarajan · Inderjit Dhillon · Pradeep Ravikumar · Ambuj Tewari
• 2012 Poster: A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation »
  Cho-Jui Hsieh · Inderjit Dhillon · Pradeep Ravikumar · Arindam Banerjee
• 2011 Poster: Greedy Algorithms for Structurally Constrained High Dimensional Problems »
  Ambuj Tewari · Pradeep Ravikumar · Inderjit Dhillon
• 2011 Poster: Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation »
  Cho-Jui Hsieh · Matyas A Sustik · Inderjit Dhillon · Pradeep Ravikumar
• 2011 Poster: Nearest Neighbor based Greedy Coordinate Descent »
  Inderjit Dhillon · Pradeep Ravikumar · Ambuj Tewari
• 2011 Poster: Orthogonal Matching Pursuit with Replacement »
  Prateek Jain · Ambuj Tewari · Inderjit Dhillon
• 2010 Spotlight: Guaranteed Rank Minimization via Singular Value Projection »
  Prateek Jain · Raghu Meka · Inderjit Dhillon
• 2010 Poster: Guaranteed Rank Minimization via Singular Value Projection »
  Prateek Jain · Raghu Meka · Inderjit Dhillon
• 2010 Spotlight: Inductive Regularized Learning of Kernel Functions »
  Prateek Jain · Brian Kulis · Inderjit Dhillon
• 2010 Poster: Inductive Regularized Learning of Kernel Functions »
  Prateek Jain · Brian Kulis · Inderjit Dhillon
• 2009 Poster: Matrix Completion from Power-Law Distributed Samples »
  Raghu Meka · Prateek Jain · Inderjit Dhillon
• 2008 Poster: Online Metric Learning and Fast Similarity Search »
  Prateek Jain · Brian Kulis · Inderjit Dhillon · Kristen Grauman
• 2008 Oral: Online Metric Learning and Fast Similarity Search »
  Prateek Jain · Brian Kulis · Inderjit Dhillon · Kristen Grauman