Fotakis, Dimitris

27 publications

MLJ 2025 Analyzing the Effect of Residual Connections to Oversmoothing in Graph Neural Networks Dimitrios Kelesis, Dimitris Fotakis, Georgios Paliouras
AAAI 2025 Improved Bounds for Online Facility Location with Predictions Dimitris Fotakis, Evangelia Gergatsouli, Themistoklis Gouleakis, Nikolas Patris, Thanos Tolias
AAAI 2025 On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries Dimitris Fotakis, Laurent Gourvès, Panagiotis Patsilinakos
MLJ 2025 Partially Trained Graph Convolutional Networks Resist Oversmoothing Dimitrios Kelesis, Dimitris Fotakis, Georgios Paliouras
ICML 2025 Polynomial Time Learning Augmented Algorithms for NP-Hard Permutation Problems Evripidis Bampis, Bruno Escoffier, Dimitris Fotakis, Panagiotis Patsilinakos, Michalis Xefteris
NeurIPS 2023 Fairness Aware Counterfactuals for Subgroups Loukas Kavouras, Konstantinos Tsopelas, Giorgos Giannopoulos, Dimitris Sacharidis, Eleni Psaroudaki, Nikolaos Theologitis, Dimitrios Rontogiannis, Dimitris Fotakis, Ioannis Emiris
NeurIPS 2023 Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method Constantine Caramanis, Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos
AISTATS 2022 Differentially Private Regression with Unbounded Covariates Jason Milionis, Alkis Kalavasis, Dimitris Fotakis, Stratis Ioannidis
AAAI 2022 Dimensionality and Coordination in Voting: The Distortion of STV Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos
ICML 2022 Label Ranking Through Nonparametric Regression Dimitris Fotakis, Alkis Kalavasis, Eleni Psaroudaki
NeurIPS 2022 Linear Label Ranking with Bounded Noise Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos
JAIR 2022 Metric-Distortion Bounds Under Limited Information Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos
NeurIPS 2022 Perfect Sampling from Pairwise Comparisons Dimitris Fotakis, Alkis Kalavasis, Christos Tzamos
AISTATS 2021 Aggregating Incomplete and Noisy Rankings Dimitris Fotakis, Alkis Kalavasis, Konstantinos Stavropoulos
COLT 2021 Efficient Algorithms for Learning from Coarse Labels Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos
ICML 2021 Efficient Online Learning for Dynamic K-Clustering Dimitris Fotakis, Georgios Piliouras, Stratis Skoulakis
AAAI 2021 Efficient Truthful Scheduling and Resource Allocation Through Monitoring Dimitris Fotakis, Piotr Krysta, Carmine Ventre
AAAI 2021 Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood Queries Dimitris Fotakis, Thanasis Pittas, Stratis Skoulakis
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 2020 Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent Dimitris Fotakis, Thanasis Lianeas, Georgios Piliouras, Stratis Skoulakis
COLT 2020 Efficient Parameter Estimation of Truncated Boolean Product Distributions Dimitris Fotakis, Alkis Kalavasis, Christos Tzamos
AAAI 2019 A Bridge Between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata
COLT 2019 Optimal Learning of Mallows Block Model Robert Busa-Fekete, Dimitris Fotakis, Balázs Szörényi, Manolis Zampetakis
IJCAI 2019 Reallocating Multiple Facilities on the Line Dimitris Fotakis, Loukas Kavouras, Panagiotis Kostopanagiotis, Philip Lazos, Stratis Skoulakis, Nikos Zarifis
JAIR 2018 The Power of Verification for Greedy Mechanism Design Dimitris Fotakis, Piotr Krysta, Carmine Ventre
IJCAI 2016 Opinion Dynamics with Local Interactions Dimitris Fotakis, Dimitris Palyvos-Giannas, Stratis Skoulakis