More from the Same Authors

• 2022 Poster: Reproducibility in Optimization: Theoretical Framework and Limits »
  Kwangjun Ahn · Prateek Jain · Ziwei Ji · Satyen Kale · Praneeth Netrapalli · Gil I Shamir
• 2022 Poster: From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent »
  Christopher De Sa · Satyen Kale · Jason Lee · Ayush Sekhari · Karthik Sridharan
• 2021 Poster: SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs »
  Ayush Sekhari · Karthik Sridharan · Satyen Kale
• 2021 Poster: Learning with User-Level Privacy »
  Daniel Levy · Ziteng Sun · Kareem Amin · Satyen Kale · Alex Kulesza · Mehryar Mohri · Ananda Theertha Suresh
• 2021 Poster: Breaking the centralized barrier for cross-device federated learning »
  Sai Praneeth Karimireddy · Martin Jaggi · Satyen Kale · Mehryar Mohri · Sashank Reddi · Sebastian Stich · Ananda Theertha Suresh
• 2020 Poster: Estimating Training Data Influence by Tracing Gradient Descent »
  Garima Pruthi · Frederick Liu · Satyen Kale · Mukund Sundararajan
• 2020 Spotlight: Estimating Training Data Influence by Tracing Gradient Descent »
  Garima Pruthi · Frederick Liu · Satyen Kale · Mukund Sundararajan
• 2020 Poster: PAC-Bayes Learning Bounds for Sample-Dependent Priors »
  Pranjal Awasthi · Satyen Kale · Stefani Karp · Mehryar Mohri
• 2019 Poster: Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces »
  Chuan Guo · Ali Mousavi · Xiang Wu · Daniel Holtmann-Rice · Satyen Kale · Sashank Reddi · Sanjiv Kumar
• 2019 Poster: Hypothesis Set Stability and Generalization »
  Dylan Foster · Spencer Greenberg · Satyen Kale · Haipeng Luo · Mehryar Mohri · Karthik Sridharan
• 2018 Poster: Online Learning of Quantum States »
  Scott Aaronson · Xinyi Chen · Elad Hazan · Satyen Kale · Ashwin Nayak
• 2018 Poster: Adaptive Methods for Nonconvex Optimization »
  Manzil Zaheer · Sashank Reddi · Devendra S Sachan · Satyen Kale · Sanjiv Kumar
• 2017 Poster: Parameter-Free Online Learning via Model Selection »
  Dylan J Foster · Satyen Kale · Mehryar Mohri · Karthik Sridharan
• 2017 Spotlight: Parameter-Free Online Learning via Model Selection »
  Dylan J Foster · Satyen Kale · Mehryar Mohri · Karthik Sridharan
• 2016 Poster: Hardness of Online Sleeping Combinatorial Optimization Problems »
  Satyen Kale · Chansoo Lee · David Pal
• 2015 : Discussion Panel »
  Tim van Erven · Wouter Koolen · Peter Grünwald · Shai Ben-David · Dylan Foster · Satyen Kale · Gergely Neu
• 2015 Poster: Online Gradient Boosting »
  Alina Beygelzimer · Elad Hazan · Satyen Kale · Haipeng Luo
• 2014 Workshop: NIPS Workshop on Transactional Machine Learning and E-Commerce »
  David Parkes · David H Wolpert · Jennifer Wortman Vaughan · Jacob D Abernethy · Amos Storkey · Mark Reid · Ping Jin · Nihar Bhadresh Shah · Mehryar Mohri · Luis E Ortiz · Robin Hanson · Aaron Roth · Satyen Kale · Sebastien Lahaie
• 2013 Workshop: Large Scale Matrix Analysis and Inference »
  Reza Zadeh · Gunnar Carlsson · Michael Mahoney · Manfred K. Warmuth · Wouter M Koolen · Nati Srebro · Satyen Kale · Malik Magdon-Ismail · Ashish Goel · Matei A Zaharia · David Woodruff · Ioannis Koutis · Benjamin Recht
• 2013 Poster: Adaptive Market Making via Online Learning »
  Jacob D Abernethy · Satyen Kale
• 2013 Oral: Adaptive Market Making via Online Learning »
  Jacob D Abernethy · Satyen Kale
• 2011 Poster: Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction »
  Elad Hazan · Satyen Kale
• 2010 Poster: Non-Stochastic Bandit Slate Problems »
  Satyen Kale · Lev Reyzin · Robert E Schapire
• 2009 Poster: On Stochastic and Worst-case Models for Investing »
  Elad Hazan · Satyen Kale
• 2009 Oral: On Stochastic and Worst-case Models for Investing »
  Elad Hazan · Satyen Kale
• 2009 Poster: Beyond Convexity: Online Submodular Minimization »
  Elad Hazan · Satyen Kale
• 2007 Poster: Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria »
  Elad Hazan · Satyen Kale