| 2025 | COLT | Computational Intractability of Strategizing against Online Learners. | Angelos Assos, Yuval Dagan, Nived Rajaraman |
| 2025 | STOC | Breaking the T^(2/3) Barrier for Sequential Calibration. | Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson, Noah Golowich, Robert Kleinberg, Princewill Okoroafor |
| 2024 | STOC | From External to Swap Regret 2.0: An Efficient Reduction for Large Action Spaces. | Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson, Noah Golowich |
| 2023 | COLT | Online Learning and Solving Infinite Games with an ERM Oracle. | Angelos Assos, Idan Attias, Yuval Dagan, Constantinos Daskalakis, Maxwell K. Fishelson |
| 2023 | COLT | Learning and Testing Latent-Tree Ising Models Efficiently. | Anthimos Vardis Kandiros, Constantinos Daskalakis, Yuval Dagan, Davin Choo |
| 2022 | COLT | Smoothed Online Learning is as Easy as Statistical Learning. | Adam Block, Yuval Dagan, Noah Golowich, Alexander Rakhlin |
| 2022 | COLT | A bounded-noise mechanism for differential privacy. | Yuval Dagan, Gil Kur |
| 2022 | COLT | EM's Convergence in Gaussian Latent Tree Models. | Yuval Dagan, Anthimos Vardis Kandiros, Constantinos Daskalakis |
| 2022 | ICML | Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems. | Giannis Daras, Yuval Dagan, Alex Dimakis, Constantinos Daskalakis |
| 2021 | COLT | Majorizing Measures, Sequential Complexities, and Online Learning. | Adam Block, Yuval Dagan, Alexander Rakhlin |
| 2021 | ICML | Statistical Estimation from Dependent Data. | Anthimos Vardis Kandiros, Yuval Dagan, Nishanth Dikkala, Surbhi Goel, Constantinos Daskalakis |
| 2021 | STOC | Adversarial laws of large numbers and optimal regret in online classification. | Noga Alon, Omri Ben-Eliezer, Yuval Dagan, Shay Moran, Moni Naor, Eylon Yogev |
| 2021 | STOC | Learning Ising models from one or multiple samples. | Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Anthimos Vardis Kandiros |
| 2020 | COLT | PAC learning with stable and private predictions. | Yuval Dagan, Vitaly Feldman |
| 2020 | STOC | Interaction is necessary for distributed learning with privacy or communication constraints. | Yuval Dagan, Vitaly Feldman |
| 2019 | COLT | Learning from Weakly Dependent Data under Dobrushin's Condition. | Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti |
| 2019 | COLT | Space lower bounds for linear prediction in the streaming model. | Yuval Dagan, Gil Kur, Ohad Shamir |
| 2018 | ALT | A Better Resource Allocation Algorithm with Semi-Bandit Feedback. | Yuval Dagan, Koby Crammer |
| 2018 | COLT | Detecting Correlations with Little Memory and Communication. | Yuval Dagan, Ohad Shamir |
| 2018 | Networking | Proactive Rerouting in Network Overlays. | Reuven Cohen, Yuval Dagan, Gabi Nakibly |
| 2017 | STOC | Twenty (simple) questions. | Yuval Dagan, Yuval Filmus, Ariel Gabizon, Shay Moran |