Emmanouil Zampetakis

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 15

Top Topics

Linear Regression

Identically Distributed

Mechanism Design

High Dimensions

Top Venues

Publications

Alexandros Hollender, Emmanouil Zampetakis
The Computational Complexity of Finding Stationary Points in Non-Convex Optimization. COLT (2023)
Jane Lee, Andre Wibisono, Emmanouil Zampetakis
Learning Exponential Families from Truncated Samples. NeurIPS (2023)
Constantinos Daskalakis, Noah Golowich, Stratis Skoulakis, Emmanouil Zampetakis
STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games. COLT (2023)
Emmanouil Zampetakis, Fred Zhang
Bayesian Strategy-Proof Facility Location via Robust Estimation. AISTATS (2023)
Alkis Kalavasis, Konstantinos Stavropoulos, Emmanouil Zampetakis
Learning and Covering Sums of Independent Random Variables with Unbounded Support. NeurIPS (2022)
Constantinos Daskalakis, Vasilis Kontonis, Christos Tzamos, Emmanouil Zampetakis
A Statistical Taylor Theorem and Extrapolation of Truncated Densities. COLT (2021)
Constantinos Daskalakis, Patroklos Stefanou, Rui Yao, Emmanouil Zampetakis
Efficient Truncated Linear Regression with Unknown Noise Variance. NeurIPS (2021)
Róbert Busa-Fekete, Dimitris Fotakis, Emmanouil Zampetakis
Private and Non-private Uniformity Testing for Ranking Data. NeurIPS (2021)
Wenshuo Guo, Michael I. Jordan, Emmanouil Zampetakis
Robust Learning of Optimal Auctions. NeurIPS (2021)
Róbert Busa-Fekete, Dimitris Fotakis, Balázs Szörényi, Emmanouil Zampetakis
Identity testing for Mallows model. NeurIPS (2021)
Andrew Ilyas, Emmanouil Zampetakis, Constantinos Daskalakis
A Theoretical and Practical Framework for Regression and Classification from Truncated Samples. AISTATS (2020)
Constantinos Daskalakis, Dhruv Rohatgi, Emmanouil Zampetakis
Truncated Linear Regression in High Dimensions. NeurIPS (2020)
Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Emmanouil Zampetakis
Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions. NeurIPS (2020)
Constantinos Daskalakis, Dhruv Rohatgi, Emmanouil Zampetakis
Constant-Expansion Suffices for Compressed Sensing with Generative Priors. NeurIPS (2020)
Dimitris Fotakis, Dimitris Tsipras, Christos Tzamos, Emmanouil Zampetakis
Efficient Money Burning in General Domains. Theory Comput. Syst. 59 (4) (2016)
Dimitris Fotakis, Ioannis Milis, Orestis Papadigenopoulos, Emmanouil Zampetakis, Georgios Zois
Scheduling MapReduce Jobs and Data Shuffle on Unrelated Processors. SEA (2015)
Dimitris Fotakis, Christos Tzamos, Emmanouil Zampetakis
Who to Trust for Truthfully Maximizing Welfare? CoRR (2015)
Dimitris Fotakis, Dimitris Tsipras, Christos Tzamos, Emmanouil Zampetakis
Efficient Money Burning in General Domains. SAGT (2015)
Dimitris Fotakis, Emmanouil Zampetakis
Truthfulness Flooded Domains and the Power of Verification for Mechanism Design. ACM Trans. Economics and Comput. 3 (4) (2015)
Dimitris Fotakis, Ioannis Milis, Emmanouil Zampetakis, Georgios Zois
Scheduling MapReduce Jobs on Unrelated Processors. EDBT/ICDT Workshops (2014)
Dimitris Fotakis, Emmanouil Zampetakis
Truthfulness Flooded Domains and the Power of Verification for Mechanism Design. WINE (2013)
Dimitris Fotakis, Ioannis Milis, Emmanouil Zampetakis, Georgios Zois
Scheduling MapReduce Jobs on Unrelated Processors. CoRR (2013)