Zampetakis, Emmanouil

14 publications

AISTATS 2023 Bayesian Strategy-Proof Facility Location via Robust Estimation Emmanouil Zampetakis, Fred Zhang

NeurIPS 2023 Learning Exponential Families from Truncated Samples Jane Lee, Andre Wibisono, Emmanouil Zampetakis

COLT 2023 STay-on-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games Constantinos Daskalakis, Noah Golowich, Stratis Skoulakis, Emmanouil Zampetakis

COLT 2023 The Computational Complexity of Finding Stationary Points in Non-Convex Optimization Alexandros Hollender, Emmanouil Zampetakis

NeurIPS 2022 Learning and Covering Sums of Independent Random Variables with Unbounded Support Alkis Kalavasis, Konstantinos Stavropoulos, Emmanouil Zampetakis

COLT 2021 A Statistical Taylor Theorem and Extrapolation of Truncated Densities Constantinos Daskalakis, Vasilis Kontonis, Christos Tzamos, Emmanouil Zampetakis

NeurIPS 2021 Efficient Truncated Linear Regression with Unknown Noise Variance Constantinos Daskalakis, Patroklos Stefanou, Rui Yao, Emmanouil Zampetakis

NeurIPS 2021 Identity Testing for Mallows Model Róbert Busa-Fekete, Dimitris Fotakis, Balazs Szorenyi, Emmanouil Zampetakis

NeurIPS 2021 Private and Non-Private Uniformity Testing for Ranking Data Róbert Busa-Fekete, Dimitris Fotakis, Emmanouil Zampetakis

NeurIPS 2021 Robust Learning of Optimal Auctions Wenshuo Guo, Michael I. Jordan, Emmanouil Zampetakis

AISTATS 2020 A Theoretical and Practical Framework for Regression and Classification from Truncated Samples Andrew Ilyas, Emmanouil Zampetakis, Constantinos Daskalakis

NeurIPS 2020 Constant-Expansion Suffices for Compressed Sensing with Generative Priors Constantinos Daskalakis, Dhruv Rohatgi, Emmanouil Zampetakis

NeurIPS 2020 Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions Alessandro Epasto, Mohammad Mahdian, Vahab Mirrokni, Emmanouil Zampetakis

NeurIPS 2020 Truncated Linear Regression in High Dimensions Constantinos Daskalakis, Dhruv Rohatgi, Emmanouil Zampetakis