| 2026 | STOC | Learning Mixture Models via Efficient High-Dimensional Sparse Fourier Transforms. | Alkis Kalavasis, Pravesh K. Kothari, Shuchen Li, Manolis Zampetakis |
| 2026 | STOC | Smoothed Analysis of Learning from Positive Samples. | Jane H. Lee, Anay Mehrotra, Manolis Zampetakis |
| 2025 | ALT | On the Hardness of Learning One Hidden Layer Neural Networks. | Shuchen Li, Ilias Zadik, Manolis Zampetakis |
| 2025 | COLT | What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness (Extended Abstract). | Yang Cai, Alkis Kalavasis, Katerina Mamali, Anay Mehrotra, Manolis Zampetakis |
| 2025 | ICML | Safely Learning Optimal Auctions: A Testable Learning Framework for Mechanism Design. | Vikram Kher, Manolis Zampetakis |
| 2024 | COLT | Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract). | Alkis Kalavasis, Anay Mehrotra, Manolis Zampetakis |
| 2024 | FOCS | Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians. | Jane H. Lee, Anay Mehrotra, Manolis Zampetakis |
| 2024 | IJCAI | Imperfect-Recall Games: Equilibrium Concepts and Their Complexity. | Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld, Manolis Zampetakis, Tuomas Sandholm, Paul Goldberg, Vincent Conitzer |
| 2023 | COLT | Deterministic Nonsmooth Nonconvex Optimization. | Michael I. Jordan, Guy Kornowski, Tianyi Lin, Ohad Shamir, Manolis Zampetakis |
| 2023 | STOC | What Makes a Good Fisherman? Linear Regression under Self-Selection Bias. | Yeshwanth Cherapanamjeri, Constantinos Daskalakis, Andrew Ilyas, Manolis Zampetakis |
| 2021 | SODA | A Topological Characterization of Modulo- | Aris Filos-Ratsikas, Alexandros Hollender, Katerina Sotiraki, Manolis Zampetakis |
| 2021 | STOC | The complexity of constrained min-max optimization. | Constantinos Daskalakis, Stratis Skoulakis, Manolis Zampetakis |
| 2020 | COLT | Estimation and Inference with Trees and Forests in High Dimensions. | Vasilis Syrgkanis, Manolis Zampetakis |
| 2019 | COLT | Optimal Learning of Mallows Block Model. | Rbert Busa-Fekete, Dimitris Fotakis, Balzs Szrnyi, Manolis Zampetakis |
| 2019 | COLT | Computationally and Statistically Efficient Truncated Regression. | Constantinos Daskalakis, Themis Gouleakis, Christos Tzamos, Manolis Zampetakis |
| 2019 | FOCS | Efficient Truncated Statistics with Unknown Truncation. | Vasilis Kontonis, Christos Tzamos, Manolis Zampetakis |
| 2018 | AISTATS | Bootstrapping EM via Power EM and Convergence in the Naive Bayes Model. | Costis Daskalakis, Christos Tzamos, Manolis Zampetakis |
| 2018 | COLT | Certified Computation from Unreliable Datasets. | Themis Gouleakis, Christos Tzamos, Manolis Zampetakis |
| 2018 | FOCS | Efficient Statistics, in High Dimensions, from Truncated Samples. | Constantinos Daskalakis, Themis Gouleakis, Christos Tzamos, Manolis Zampetakis |
| 2018 | FOCS | PPP-Completeness with Connections to Cryptography. | Katerina Sotiraki, Manolis Zampetakis, Giorgos Zirdelis |
| 2018 | STOC | A converse to Banach's fixed point theorem and its CLS-completeness. | Constantinos Daskalakis, Christos Tzamos, Manolis Zampetakis |
| 2017 | COLT | Ten Steps of EM Suffice for Mixtures of Two Gaussians. | Constantinos Daskalakis, Christos Tzamos, Manolis Zampetakis |
| 2017 | SODA | Faster Sublinear Algorithms using Conditional Sampling. | Themistoklis Gouleakis, Christos Tzamos, Manolis Zampetakis |