Scheduling MapReduce Jobs on Unrelated Processors. - Dimitris Fotakis 001; Ioannis Milis; Emmanouil Zampetakis; Georgios Zois (EDBT/ICDT Workshops, 2014)

Scheduling MapReduce Jobs and Data Shuffle on Unrelated Processors. - Dimitris Fotakis 001; Ioannis Milis; Orestis Papadigenopoulos; Emmanouil Zampetakis; Georgios Zois (SEA, 2015)

Who to Trust for Truthfully Maximizing Welfare? - Dimitris Fotakis 001; Christos Tzamos; Emmanouil Zampetakis (CoRR, 2015)

Truthfulness Flooded Domains and the Power of Verification for Mechanism Design. - Dimitris Fotakis 001; Emmanouil Zampetakis (ACM Trans. Economics and Comput., 2015)

Mechanism Design with Selective Verification. - Dimitris Fotakis 001; Christos Tzamos; Manolis Zampetakis (EC, 2016)

Efficient Money Burning in General Domains. - Dimitris Fotakis 001; Dimitris Tsipras; Christos Tzamos; Emmanouil Zampetakis (Theory Comput. Syst., 2016)

Ten Steps of EM Suffice for Mixtures of Two Gaussians. - Constantinos Daskalakis; Christos Tzamos; Manolis Zampetakis (COLT, 2017)

Faster Sublinear Algorithms using Conditional Sampling. - Themistoklis Gouleakis; Christos Tzamos; Manolis Zampetakis (SODA, 2017)

Certified Computation in Crowdsourcing. - Themis Gouleakis; Christos Tzamos; Manolis Zampetakis (CoRR, 2017)

Bootstrapping EM via Power EM and Convergence in the Naive Bayes Model. - Costis Daskalakis; Christos Tzamos; Manolis Zampetakis (AISTATS, 2018)

Certified Computation from Unreliable Datasets. - Themis Gouleakis; Christos Tzamos; Manolis Zampetakis (COLT, 2018)

Efficient Statistics, in High Dimensions, from Truncated Samples. - Constantinos Daskalakis; Themis Gouleakis; Christos Tzamos; Manolis Zampetakis (FOCS, 2018)

A converse to Banach's fixed point theorem and its CLS-completeness. - Constantinos Daskalakis; Christos Tzamos; Manolis Zampetakis (STOC, 2018)

PPP-Completeness with Connections to Cryptography. - Katerina Sotiraki; Manolis Zampetakis; Giorgos Zirdelis (IACR Cryptol. ePrint Arch., 2018)

Optimal Learning of Mallows Block Model. - Róbert Busa-Fekete; Dimitris Fotakis 001; Balázs Szörényi; Manolis Zampetakis (COLT, 2019)

Computationally and Statistically Efficient Truncated Regression. - Constantinos Daskalakis; Themis Gouleakis; Christos Tzamos; Manolis Zampetakis (COLT, 2019)

Efficient Truncated Statistics with Unknown Truncation. - Vasilis Kontonis; Christos Tzamos; Manolis Zampetakis (FOCS, 2019)

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

On the Complexity of Modulo-q Arguments and the Chevalley - Warning Theorem. - Mika Göös; Pritish Kamath; Katerina Sotiraki; Manolis Zampetakis (CCC, 2020)

Estimation and Inference with Trees and Forests in High Dimensions. - Vasilis Syrgkanis; Manolis Zampetakis (COLT, 2020)

Truncated Linear Regression in High Dimensions. - Constantinos Daskalakis; Dhruv Rohatgi; Emmanouil Zampetakis (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 S. Mirrokni; Emmanouil Zampetakis (NeurIPS, 2020)

More Revenue from Two Samples via Factor Revealing SDPs. - Constantinos Daskalakis; Manolis Zampetakis (EC, 2020)

A Topological Characterization of Modulo-p Arguments and Implications for Necklace Splitting. - Aris Filos-Ratsikas; Alexandros Hollender; Katerina Sotiraki; Manolis Zampetakis (CoRR, 2020)

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

Identity testing for Mallows model. - Róbert Busa-Fekete; Dimitris Fotakis 001; Balázs Szörényi; Emmanouil Zampetakis (NeurIPS, 2021)

Private and Non-private Uniformity Testing for Ranking Data. - Róbert Busa-Fekete; Dimitris Fotakis 001; Emmanouil Zampetakis (NeurIPS, 2021)

Efficient Truncated Linear Regression with Unknown Noise Variance. - Constantinos Daskalakis; Patroklos Stefanou; Rui Yao; Emmanouil Zampetakis (NeurIPS, 2021)

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

A Topological Characterization of Modulo-p Arguments and Implications for Necklace Splitting. - Aris Filos-Ratsikas; Alexandros Hollender; Katerina Sotiraki; Manolis Zampetakis (SODA, 2021)

The complexity of constrained min-max optimization. - Constantinos Daskalakis; Stratis Skoulakis; Manolis Zampetakis (STOC, 2021)

Last-Iterate Convergence of Saddle Point Optimizers via High-Resolution Differential Equations. - Tatjana Chavdarova; Michael I. Jordan; Manolis Zampetakis (CoRR, 2021)

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

Estimation of Standard Auction Models. - Yeshwanth Cherapanamjeri; Constantinos Daskalakis; Andrew Ilyas; Manolis Zampetakis (EC, 2022)

On the Complexity of Deterministic Nonsmooth and Nonconvex Optimization. - Michael I. Jordan; Tianyi Lin; Manolis Zampetakis (CoRR, 2022)

Analyzing data with systematic bias. - Manolis Zampetakis (SIGecom Exch., 2022)

Bayesian Strategy-Proof Facility Location via Robust Estimation. - Emmanouil Zampetakis; Fred Zhang (AISTATS, 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 (COLT, 2023)

Deterministic Nonsmooth Nonconvex Optimization. - Michael I. Jordan; Guy Kornowski; Tianyi Lin; Ohad Shamir; Manolis Zampetakis (COLT, 2023)

Learning Exponential Families from Truncated Samples. - Jane H. Lee; Andre Wibisono; Emmanouil Zampetakis (NeurIPS, 2023)

Smoothed Analysis of Online Non-parametric Auctions. - Naveen Durvasula; Nika Haghtalab; Manolis Zampetakis (EC, 2023)

The Computational Complexity of Multi-player Concave Games and Kakutani Fixed Points. - Christos H. Papadimitriou; Emmanouil-Vasileios Vlatakis-Gkaragkounis; Manolis Zampetakis (EC, 2023)

What Makes a Good Fisherman? Linear Regression under Self-Selection Bias. - Yeshwanth Cherapanamjeri; Constantinos Daskalakis; Andrew Ilyas; Manolis Zampetakis (STOC, 2023)

Algorithmic Contract Design for Crowdsourced Ranking. - Kiriaki Frangias; Andrew Lin; Ellen Vitercik; Manolis Zampetakis (CoRR, 2023)

Sorting from Crowdsourced Comparisons using Expert Verifications. - Ellen Vitercik; Manolis Zampetakis; David Zhang (CoRR, 2023)

First-Order Algorithms for Nonlinear Generalized Nash Equilibrium Problems. - Michael I. Jordan; Tianyi Lin; Manolis Zampetakis (J. Mach. Learn. Res., 2023)

Consensus-Halving: Does It Ever Get Easier? - Aris Filos-Ratsikas; Alexandros Hollender; Katerina Sotiraki; Manolis Zampetakis (SIAM J. Comput., 2023)

Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract). - Alkis Kalavasis; Anay Mehrotra; Manolis Zampetakis (COLT, 2024)

Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians. - Jane H. Lee; Anay Mehrotra; Manolis Zampetakis (FOCS, 2024)

Imperfect-Recall Games: Equilibrium Concepts and Their Complexity. - Emanuel Tewolde; Brian Hu Zhang; Caspar Oesterheld; Manolis Zampetakis; Tuomas Sandholm; Paul Goldberg 001; Vincent Conitzer (IJCAI, 2024)

On the Complexity of Computing Sparse Equilibria and Lower Bounds for No-Regret Learning in Games. - Ioannis Anagnostides; Alkis Kalavasis; Tuomas Sandholm; Manolis Zampetakis (ITCS, 2024)

Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models. - Alkis Kalavasis; Amin Karbasi; Argyris Oikonomou; Katerina Sotiraki; Grigoris Velegkas; Manolis Zampetakis (NeurIPS, 2024)

Tree of Attacks: Jailbreaking Black-Box LLMs Automatically. - Anay Mehrotra; Manolis Zampetakis; Paul Kassianik; Blaine Nelson; Hyrum S. Anderson; Yaron Singer; Amin Karbasi (NeurIPS, 2024)

Transfer Learning Beyond Bounded Density Ratios. - Alkis Kalavasis; Ilias Zadik; Manolis Zampetakis (CoRR, 2024)

Injecting Undetectable Backdoors in Deep Learning and Language Models. - Alkis Kalavasis; Amin Karbasi; Argyris Oikonomou; Katerina Sotiraki; Grigoris Velegkas; Manolis Zampetakis (CoRR, 2024)

Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening. - Alkis Kalavasis; Anay Mehrotra; Manolis Zampetakis (CoRR, 2024)

On the Hardness of Learning One Hidden Layer Neural Networks. - Shuchen Li; Ilias Zadik; Manolis Zampetakis (ALT, 2025)

What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness (Extended Abstract). - Yang Cai; Alkis Kalavasis; Katerina Mamali; Anay Mehrotra; Manolis Zampetakis (COLT, 2025)

Fixed Point Computation: Beating Brute Force with Smoothed Analysis. - Idan Attias; Yuval Dagan; Constantinos Daskalakis; Rui Yao; Manolis Zampetakis (CoRR, 2025)

Learning with Positive and Imperfect Unlabeled Data. - Jane H. Lee; Anay Mehrotra; Manolis Zampetakis (CoRR, 2025)

Private Statistical Estimation via Truncation. - Manolis Zampetakis; Felix Zhou 002 (CoRR, 2025)

What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness. - Yang Cai; Alkis Kalavasis; Katerina Mamali; Anay Mehrotra; Manolis Zampetakis (CoRR, 2025)