Yuval Dagan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 52

Top Topics

Statistical Estimation

Inverse Problems

Online Learning

Top Venues

Publications

Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson, Noah Golowich
From External to Swap Regret 2.0: An Efficient Reduction for Large Action Spaces. STOC (2024)
Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson, Noah Golowich, Robert Kleinberg, Princewill Okoroafor
Improved bounds for calibration via stronger sign preservation games. CoRR (2024)
Angelos Assos, Yuval Dagan, Constantinos Daskalakis
Maximizing utility in multi-agent environments by anticipating the behavior of other learners. CoRR (2024)
Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson, Noah Golowich
From External to Swap Regret 2.0: An Efficient Reduction and Oblivious Adversary for Large Action Spaces. CoRR (2023)
Angelos Assos, Idan Attias, Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson
Online Learning and Solving Infinite Games with an ERM Oracle. CoRR (2023)
Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alex Dimakis, Adam R. Klivans
Ambient Diffusion: Learning Clean Distributions from Corrupted Data. NeurIPS (2023)
Giannis Daras, Yuval Dagan, Alex Dimakis, Constantinos Daskalakis
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent. NeurIPS (2023)
Angelos Assos, Idan Attias, Yuval Dagan, Constantinos Daskalakis, Maxwell K. Fishelson
Online Learning and Solving Infinite Games with an ERM Oracle. COLT (2023)
Anthimos Vardis Kandiros, Constantinos Daskalakis, Yuval Dagan, Davin Choo
Learning and Testing Latent-Tree Ising Models Efficiently. COLT (2023)
Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alexandros G. Dimakis, Adam R. Klivans
Ambient Diffusion: Learning Clean Distributions from Corrupted Data. CoRR (2023)
Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent. CoRR (2023)
Davin Choo, Yuval Dagan, Constantinos Daskalakis, Anthimos Vardis Kandiros
Learning and Testing Latent-Tree Ising Models Efficiently. CoRR (2022)
Adam Block, Yuval Dagan, Noah Golowich, Alexander Rakhlin
Smoothed Online Learning is as Easy as Statistical Learning. COLT (2022)
Yuval Dagan, Constantinos Daskalakis, Anthimos Vardis Kandiros
EM's Convergence in Gaussian Latent Tree Models. CoRR (2022)
Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems. CoRR (2022)
Yuval Dagan, Anthimos Vardis Kandiros, Constantinos Daskalakis
EM's Convergence in Gaussian Latent Tree Models. COLT (2022)
Adam Block, Yuval Dagan, Noah Golowich, Alexander Rakhlin
Smoothed Online Learning is as Easy as Statistical Learning. CoRR (2022)
Yuval Dagan, Gil Kur
A bounded-noise mechanism for differential privacy. COLT (2022)
Giannis Daras, Yuval Dagan, Alex Dimakis, Constantinos Daskalakis
Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems. ICML (2022)
Noga Alon, Omri Ben-Eliezer, Yuval Dagan, Shay Moran, Moni Naor, Eylon Yogev
Adversarial Laws of Large Numbers and Optimal Regret in Online Classification. CoRR (2021)
Adam Block, Yuval Dagan, Sasha Rakhlin
Majorizing Measures, Sequential Complexities, and Online Learning. CoRR (2021)
Yuval Dagan, Vitaly Feldman
Interaction is Necessary for Distributed Learning with Privacy or Communication Constraints. J. Priv. Confidentiality 11 (2) (2021)
Anthimos Vardis Kandiros, Yuval Dagan, Nishanth Dikkala, Surbhi Goel, Constantinos Daskalakis
Statistical Estimation from Dependent Data. ICML (2021)
Adam Block, Yuval Dagan, Alexander Rakhlin
Majorizing Measures, Sequential Complexities, and Online Learning. COLT (2021)
Yuval Dagan, Yuval Filmus, Daniel Kane, Shay Moran
The Entropy of Lies: Playing Twenty Questions with a Liar. ITCS (2021)
Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Anthimos Vardis Kandiros
Learning Ising models from one or multiple samples. STOC (2021)
Noga Alon, Omri Ben-Eliezer, Yuval Dagan, Shay Moran, Moni Naor, Eylon Yogev
Adversarial laws of large numbers and optimal regret in online classification. STOC (2021)
Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Surbhi Goel, Anthimos Vardis Kandiros
Statistical Estimation from Dependent Data. CoRR (2021)
Yuval Dagan, Vitaly Feldman
PAC learning with stable and private predictions. COLT (2020)
Yuval Dagan, Vitaly Feldman
Interaction is necessary for distributed learning with privacy or communication constraints. STOC (2020)
Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Anthimos Vardis Kandiros
Estimating Ising Models from One Sample. CoRR (2020)
Yuval Dagan, Gil Kur
A bounded-noise mechanism for differential privacy. CoRR (2020)
Yuval Dagan, Gil Kur
The Log-Concave Maximum Likelihood Estimator is Optimal in High Dimensions. CoRR (2019)
Yuval Dagan, Gil Kur, Ohad Shamir
Space lower bounds for linear prediction. CoRR (2019)
Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti
Learning from weakly dependent data under Dobrushin's condition. CoRR (2019)
Yuval Dagan, Gil Kur, Ohad Shamir
Space lower bounds for linear prediction in the streaming model. COLT (2019)
Yuval Dagan, Vitaly Feldman
Interaction is necessary for distributed learning with privacy or communication constraints. CoRR (2019)
Yuval Dagan, Yuval Filmus, Ariel Gabizon, Shay Moran
Twenty (Short) Questions. Comb. 39 (3) (2019)
Yuval Dagan, Vitaly Feldman
PAC learning with stable and private predictions. CoRR (2019)
Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti
Learning from Weakly Dependent Data under Dobrushin's Condition. COLT (2019)
Reuven Cohen, Yuval Dagan, Gabi Nakibly
Proactive Rerouting in Network Overlays. Networking (2018)
Yuval Dagan, Koby Crammer
A Better Resource Allocation Algorithm with Semi-Bandit Feedback. CoRR (2018)
Yuval Dagan, Yuval Filmus, Hamed Hatami, Yaqiao Li
Trading Information Complexity for Error. Theory Comput. 14 (1) (2018)
Yuval Dagan, Yuval Filmus, Daniel Kane, Shay Moran
The entropy of lies: playing twenty questions with a liar. CoRR (2018)
Yuval Dagan, Ohad Shamir
Detecting Correlations with Little Memory and Communication. COLT (2018)
Yuval Dagan, Koby Crammer
A Better Resource Allocation Algorithm with Semi-Bandit Feedback. ALT (2018)
Yuval Dagan, Ohad Shamir
Detecting Correlations with Little Memory and Communication. CoRR (2018)
Yuval Dagan, Yuval Filmus, Ariel Gabizon, Shay Moran
Twenty (simple) questions. STOC (2017)
Yuval Dagan, Yuval Filmus, Hamed Hatami, Yaqiao Li
Trading Information Complexity for Error. Computational Complexity Conference (2017)
Yuval Dagan, Yuval Filmus, Ariel Gabizon, Shay Moran
Twenty (simple) questions. CoRR (2016)
Yuval Dagan, Yuval Filmus, Hamed Hatami, Yaqiao Li
Trading information complexity for error. Electron. Colloquium Comput. Complex. 23 (2016)
Yuval Dagan, Yuval Filmus, Hamed Hatami, Yaqiao Li
Trading information complexity for error. CoRR (2016)