Related Events (a corresponding poster, oral, or spotlight)

• 2007 Spotlight: Message Passing for Max-weight Independent Set »
  Tue. Dec 4th 07:50 -- 08:00 PM Room

More from the Same Authors

• 2021 Spotlight: Regulating algorithmic filtering on social media »
  Sarah Cen · Devavrat Shah
• 2021 : Regret, stability, and fairness in matching markets with bandit learners »
  Sarah Cen · Devavrat Shah
• 2021 : Regret, stability, and fairness in matching markets with bandit learners »
  Sarah Cen · Devavrat Shah
• 2022 : Differentially Private Federated Learning with Normalized Updates »
  Rudrajit Das · Abolfazl Hashemi · Sujay Sanghavi · Inderjit Dhillon
• 2022 : A Causal Inference Framework for Network Interference with Panel Data »
  Sarah Cen · Anish Agarwal · Christina Yu · Devavrat Shah
• 2022 : On counterfactual inference with unobserved confounding »
  Abhin Shah · Raaz Dwivedi · Devavrat Shah · Gregory Wornell
• 2022 Poster: Minimax Regret for Cascading Bandits »
  Daniel Vial · Sujay Sanghavi · Sanjay Shakkottai · R. Srikant
• 2022 Poster: Toward Understanding Privileged Features Distillation in Learning-to-Rank »
  Shuo Yang · Sujay Sanghavi · Holakou Rahmanian · Jan Bakus · Vishwanathan S. V. N.
• 2021 Poster: A Computationally Efficient Method for Learning Exponential Family Distributions »
  Abhin Shah · Devavrat Shah · Gregory Wornell
• 2021 Poster: Regulating algorithmic filtering on social media »
  Sarah Cen · Devavrat Shah
• 2021 Poster: Change Point Detection via Multivariate Singular Spectrum Analysis »
  Arwa Alanqary · Abdullah Alomar · Devavrat Shah
• 2021 Poster: Nearly Horizon-Free Offline Reinforcement Learning »
  Tongzheng Ren · Jialian Li · Bo Dai · Simon Du · Sujay Sanghavi
• 2021 Poster: PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators »
  Anish Agarwal · Abdullah Alomar · Varkey Alumootil · Devavrat Shah · Dennis Shen · Zhi Xu · Cindy Yang
• 2020 Poster: Estimation of Skill Distribution from a Tournament »
  Ali Jadbabaie · Anuran Makur · Devavrat Shah
• 2020 Spotlight: Estimation of Skill Distribution from a Tournament »
  Ali Jadbabaie · Anuran Makur · Devavrat Shah
• 2020 Poster: Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation »
  Devavrat Shah · Dogyoon Song · Zhi Xu · Yuzhe Yang
• 2020 Demonstration: tspDB: Time Series Predict DB »
  Anish Agarwal · Abdullah Alomar · Devavrat Shah
• 2019 Poster: On Robustness of Principal Component Regression »
  Anish Agarwal · Devavrat Shah · Dennis Shen · Dogyoon Song
• 2019 Poster: Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space »
  Shuo Yang · Yanyao Shen · Sujay Sanghavi
• 2019 Oral: On Robustness of Principal Component Regression »
  Anish Agarwal · Devavrat Shah · Dennis Shen · Dogyoon Song
• 2019 Poster: Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models »
  Shanshan Wu · Sujay Sanghavi · Alex Dimakis
• 2019 Spotlight: Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models »
  Shanshan Wu · Sujay Sanghavi · Alex Dimakis
• 2019 Poster: Iterative Least Trimmed Squares for Mixed Linear Regression »
  Yanyao Shen · Sujay Sanghavi
• 2019 Poster: Blocking Bandits »
  Soumya Basu · Rajat Sen · Sujay Sanghavi · Sanjay Shakkottai
• 2019 Poster: Learning Distributions Generated by One-Layer ReLU Networks »
  Shanshan Wu · Alex Dimakis · Sujay Sanghavi
• 2019 Tutorial: Synthetic Control »
  Alberto Abadie · Vishal Misra · Devavrat Shah
• 2018 : Poster Session »
  Sujay Sanghavi · Vatsal Shah · Yanyao Shen · Tianchen Zhao · Yuandong Tian · Tomer Galanti · Mufan Li · Gilad Cohen · Daniel Rothchild · Aristide Baratin · Devansh Arpit · Vagelis Papalexakis · Michael Perlmutter · Ashok Vardhan Makkuva · Pim de Haan · Yingyan Lin · Wanmo Kang · Cheolhyoung Lee · Hao Shen · Sho Yaida · Dan Roberts · Nadav Cohen · Philippe Casgrain · Dejiao Zhang · Tengyu Ma · Avinash Ravichandran · Julian Emilio Salazar · Bo Li · Davis Liang · Christopher Wong · Glen Bigan Mbeng · Animesh Garg
• 2018 Poster: Q-learning with Nearest Neighbors »
  Devavrat Shah · Qiaomin Xie
• 2017 Workshop: Nearest Neighbors for Modern Applications with Massive Data: An Age-old Solution with New Challenges »
  George H Chen · Devavrat Shah · Christina Lee
• 2017 Poster: Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation »
  Christian Borgs · Jennifer Chayes · Christina Lee · Devavrat Shah
• 2016 Poster: Single Pass PCA of Matrix Products »
  Shanshan Wu · Srinadh Bhojanapalli · Sujay Sanghavi · Alex Dimakis
• 2016 Poster: Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering »
  Dogyoon Song · Christina Lee · Yihua Li · Devavrat Shah
• 2016 Poster: Normalized Spectral Map Synchronization »
  Yanyao Shen · Qixing Huang · Nati Srebro · Sujay Sanghavi
• 2015 Poster: Convergence Rates of Active Learning for Maximum Likelihood Estimation »
  Kamalika Chaudhuri · Sham Kakade · Praneeth Netrapalli · Sujay Sanghavi
• 2014 Workshop: Analysis of Rank Data: Confluence of Social Choice, Operations Research, and Machine Learning »
  Shivani Agarwal · Hossein Azari Soufiani · Guy Bresler · Sewoong Oh · David Parkes · Arun Rajkumar · Devavrat Shah
• 2014 Poster: Hardness of parameter estimation in graphical models »
  Guy Bresler · David Gamarnik · Devavrat Shah
• 2014 Poster: Non-convex Robust PCA »
  Praneeth Netrapalli · Niranjan Uma Naresh · Sujay Sanghavi · Animashree Anandkumar · Prateek Jain
• 2014 Spotlight: Non-convex Robust PCA »
  Praneeth Netrapalli · Niranjan Uma Naresh · Sujay Sanghavi · Animashree Anandkumar · Prateek Jain
• 2014 Poster: A Latent Source Model for Online Collaborative Filtering »
  Guy Bresler · George H Chen · Devavrat Shah
• 2014 Spotlight: A Latent Source Model for Online Collaborative Filtering »
  Guy Bresler · George H Chen · Devavrat Shah
• 2014 Poster: Greedy Subspace Clustering »
  Dohyung Park · Constantine Caramanis · Sujay Sanghavi
• 2014 Poster: Learning Mixed Multinomial Logit Model from Ordinal Data »
  Sewoong Oh · Devavrat Shah
• 2014 Poster: Structure learning of antiferromagnetic Ising models »
  Guy Bresler · David Gamarnik · Devavrat Shah
• 2013 Workshop: Crowdsourcing: Theory, Algorithms and Applications »
  Jennifer Wortman Vaughan · Greg Stoddard · Chien-Ju Ho · Adish Singla · Michael Bernstein · Devavrat Shah · Arpita Ghosh · Evgeniy Gabrilovich · Denny Zhou · Nikhil Devanur · Xi Chen · Alexander Ihler · Qiang Liu · Genevieve Patterson · Ashwinkumar Badanidiyuru Varadaraja · Hossein Azari Soufiani · Jacob Whitehill
• 2013 Poster: Learning Gaussian Graphical Models with Observed or Latent FVSs »
  Ying Liu · Alan S Willsky
• 2013 Poster: A Latent Source Model for Nonparametric Time Series Classification »
  George H Chen · Stanislav Nikolov · Devavrat Shah
• 2013 Poster: Analyzing Hogwild Parallel Gaussian Gibbs Sampling »
  Matthew Johnson · James Saunderson · Alan S Willsky
• 2013 Poster: Phase Retrieval using Alternating Minimization »
  Praneeth Netrapalli · Prateek Jain · Sujay Sanghavi
• 2013 Poster: Computing the Stationary Distribution Locally »
  Christina Lee · Asuman Ozdaglar · Devavrat Shah
• 2012 Poster: Iterative ranking from pair-wise comparisons »
  Sahand N Negahban · Sewoong Oh · Devavrat Shah
• 2012 Poster: Clustering Sparse Graphs »
  Yudong Chen · Sujay Sanghavi · Huan Xu
• 2012 Spotlight: Iterative ranking from pair-wise comparisons »
  Sahand N Negahban · Sewoong Oh · Devavrat Shah
• 2011 Poster: High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions »
  Animashree Anandkumar · Vincent Tan · Alan S Willsky
• 2011 Poster: Iterative Learning for Reliable Crowdsourcing Systems »
  David R Karger · Sewoong Oh · Devavrat Shah
• 2011 Oral: Iterative Learning for Reliable Crowdsourcing Systems »
  David R Karger · Sewoong Oh · Devavrat Shah
• 2011 Oral: High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions »
  Animashree Anandkumar · Vincent Tan · Alan S Willsky
• 2010 Workshop: Robust Statistical Learning »
  Pradeep Ravikumar · Constantine Caramanis · Sujay Sanghavi
• 2010 Oral: A Dirty Model for Multi-task Learning »
  Ali Jalali · Pradeep Ravikumar · Sujay Sanghavi · Chao Ruan
• 2010 Poster: Robust PCA via Outlier Pursuit »
  Huan Xu · Constantine Caramanis · Sujay Sanghavi
• 2010 Poster: A Dirty Model for Multi-task Learning »
  Ali Jalali · Pradeep Ravikumar · Sujay Sanghavi · Chao Ruan
• 2009 Poster: A Data-Driven Approach to Modeling Choice »
  Vivek Farias · Srikanth Jagabathula · Devavrat Shah
• 2009 Poster: Sharing Features among Dynamical Systems with Beta Processes »
  Emily Fox · Erik Sudderth · Michael Jordan · Alan S Willsky
• 2009 Oral: Sharing Features among Dynamical Systems with Beta Processes »
  Emily Fox · Erik Sudderth · Michael Jordan · Alan S Willsky
• 2009 Spotlight: A Data-Driven Approach to Modeling Choice »
  Vivek Farias · Srikanth Jagabathula · Devavrat Shah
• 2009 Poster: Local Rules for Global MAP: When Do They Work ? »
  Kyomin Jung · Pushmeet Kohli · Devavrat Shah
• 2008 Poster: Nonparametric Bayesian Learning of Switching Linear Dynamical Systems »
  Emily Fox · Erik Sudderth · Michael Jordan · Alan S Willsky
• 2008 Poster: Inferring rankings under constrained sensing »
  Srikanth Jagabathula · Devavrat Shah
• 2008 Oral: Inferring rankings under constrained sensing »
  Srikanth Jagabathula · Devavrat Shah
• 2008 Spotlight: Nonparametric Bayesian Learning of Switching Linear Dynamical Systems »
  Emily Fox · Erik Sudderth · Michael Jordan · Alan S Willsky
• 2007 Poster: Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis »
  Venkat Chandrasekaran · Jason K Johnson · Alan S Willsky
• 2007 Poster: Local Algorithms for Approximate Inference in Minor-Excluded Graphs »
  Kyomin Jung · Devavrat Shah
• 2007 Poster: Linear programming analysis of loopy belief propagation for weighted matching »
  Sujay Sanghavi · Dmitry Malioutov · Alan S Willsky
• 2007 Poster: Loop Series and Bethe Variational Bounds in Attractive Graphical Models »
  Erik Sudderth · Martin J Wainwright · Alan S Willsky