Weinberger, Nir

11 publications

NeurIPS 2025 Bi-Directional Communication-Efficient Stochastic FL via Remote Source Generation Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Nir Weinberger, Deniz Gunduz

ICLR 2025 On Bits and Bandits: Quantifying the Regret-Information Trade-Off Itai Shufaro, Nadav Merlis, Nir Weinberger, Shie Mannor

ICML 2025 When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets Chen Zeno, Hila Manor, Greg Ongie, Nir Weinberger, Tomer Michaeli, Daniel Soudry

ICLR 2024 A Representation-Learning Game for Classes of Prediction Tasks Neria Uzan, Nir Weinberger

COLT 2024 Statistical Curriculum Learning: An Elimination Algorithm Achieving an Oracle Risk Omer Cohen, Ron Meir, Nir Weinberger

ICLR 2024 The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model Daniel Goldfarb, Itay Evron, Nir Weinberger, Daniel Soudry, PAul HAnd

NeurIPS 2023 How Do Minimum-Norm Shallow Denoisers Look in Function Space? Chen Zeno, Greg Ongie, Yaniv Blumenfeld, Nir Weinberger, Daniel Soudry

AISTATS 2023 Robust Linear Regression for General Feature Distribution Tom Norman, Nir Weinberger, Kfir Y. Levy

NeurIPSW 2023 The Distortion-Perception Tradeoff in Finite Channels with Arbitrary Distortion Measures Dror Freirich, Nir Weinberger, Ron Meir

NeurIPS 2022 Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models Yihan Zhang, Nir Weinberger

JMLR 2022 The EM Algorithm Is Adaptively-Optimal for Unbalanced Symmetric Gaussian Mixtures Nir Weinberger, Guy Bresler