More from the Same Authors

• 2023 Poster: Federated Online and Bandit Convex Optimization »
  Kumar Kshitij Patel · Lingxiao Wang · Aadirupa Saha · Nati Srebro
• 2023 Poster: Continual Learning in Linear Classification on Separable Data »
  Itay Evron · Edward Moroshko · Gon Buzaglo · Maroun Khriesh · Badea Marjieh · Nati Srebro · Daniel Soudry
• 2022 Poster: Implicit Bias of the Step Size in Linear Diagonal Neural Networks »
  Mor Shpigel Nacson · Kavya Ravichandran · Nati Srebro · Daniel Soudry
• 2022 Spotlight: Implicit Bias of the Step Size in Linear Diagonal Neural Networks »
  Mor Shpigel Nacson · Kavya Ravichandran · Nati Srebro · Daniel Soudry
• 2021 Poster: Fast margin maximization via dual acceleration »
  Ziwei Ji · Nati Srebro · Matus Telgarsky
• 2021 Spotlight: Fast margin maximization via dual acceleration »
  Ziwei Ji · Nati Srebro · Matus Telgarsky
• 2021 Poster: Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels »
  Eran Malach · Pritish Kamath · Emmanuel Abbe · Nati Srebro
• 2021 Spotlight: Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels »
  Eran Malach · Pritish Kamath · Emmanuel Abbe · Nati Srebro
• 2021 Poster: Dropout: Explicit Forms and Capacity Control »
  Raman Arora · Peter Bartlett · Poorya Mianjy · Nati Srebro
• 2021 Spotlight: Dropout: Explicit Forms and Capacity Control »
  Raman Arora · Peter Bartlett · Poorya Mianjy · Nati Srebro
• 2021 Poster: On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent »
  Shahar Azulay · Edward Moroshko · Mor Shpigel Nacson · Blake Woodworth · Nati Srebro · Amir Globerson · Daniel Soudry
• 2021 Oral: On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent »
  Shahar Azulay · Edward Moroshko · Mor Shpigel Nacson · Blake Woodworth · Nati Srebro · Amir Globerson · Daniel Soudry
• 2020 Poster: Efficiently Learning Adversarially Robust Halfspaces with Noise »
  Omar Montasser · Surbhi Goel · Ilias Diakonikolas · Nati Srebro
• 2020 Poster: Is Local SGD Better than Minibatch SGD? »
  Blake Woodworth · Kumar Kshitij Patel · Sebastian Stich · Zhen Dai · Brian Bullins · Brendan McMahan · Ohad Shamir · Nati Srebro
• 2020 Poster: Fair Learning with Private Demographic Data »
  Hussein Mozannar · Mesrob Ohannessian · Nati Srebro
• 2019 : Panel Discussion (Nati Srebro, Dan Roy, Chelsea Finn, Mikhail Belkin, Aleksander Mądry, Jason Lee) »
  Nati Srebro · Daniel Roy · Chelsea Finn · Mikhail Belkin · Aleksander Madry · Jason Lee
• 2019 Workshop: Understanding and Improving Generalization in Deep Learning »
  Dilip Krishnan · Hossein Mobahi · Behnam Neyshabur · Behnam Neyshabur · Peter Bartlett · Dawn Song · Nati Srebro
• 2019 Poster: Semi-Cyclic Stochastic Gradient Descent »
  Hubert Eichner · Tomer Koren · Brendan McMahan · Nati Srebro · Kunal Talwar
• 2019 Oral: Semi-Cyclic Stochastic Gradient Descent »
  Hubert Eichner · Tomer Koren · Brendan McMahan · Nati Srebro · Kunal Talwar
• 2019 Poster: Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints »
  Andrew Cotter · Maya Gupta · Heinrich Jiang · Nati Srebro · Karthik Sridharan · Serena Wang · Blake Woodworth · Seungil You
• 2019 Poster: Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models »
  Mor Shpigel Nacson · Suriya Gunasekar · Jason Lee · Nati Srebro · Daniel Soudry
• 2019 Oral: Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints »
  Andrew Cotter · Maya Gupta · Heinrich Jiang · Nati Srebro · Karthik Sridharan · Serena Wang · Blake Woodworth · Seungil You
• 2019 Oral: Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models »
  Mor Shpigel Nacson · Suriya Gunasekar · Jason Lee · Nati Srebro · Daniel Soudry
• 2018 Poster: Characterizing Implicit Bias in Terms of Optimization Geometry »
  Suriya Gunasekar · Jason Lee · Daniel Soudry · Nati Srebro
• 2018 Oral: Characterizing Implicit Bias in Terms of Optimization Geometry »
  Suriya Gunasekar · Jason Lee · Daniel Soudry · Nati Srebro
• 2017 Poster: Efficient Distributed Learning with Sparsity »
  Jialei Wang · Mladen Kolar · Nati Srebro · Tong Zhang
• 2017 Talk: Efficient Distributed Learning with Sparsity »
  Jialei Wang · Mladen Kolar · Nati Srebro · Tong Zhang
• 2017 Poster: Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis »
  Dan Garber · Ohad Shamir · Nati Srebro
• 2017 Talk: Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis »
  Dan Garber · Ohad Shamir · Nati Srebro