Dimitris Fotakis

24 papers · 2016–2026 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🏃 Academic Marathon (9) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (42) 🏆 Keyword Champion 💎 Century Club (23) 🚀 Conference Pioneer 📈 Trend Setter 🔥 Unstoppable (5) ⚡ Prolific Year (7) 🗃️ Keyword Collector (112)

Conferences

AAAI (7) NIPS (7) COLT (3) ICML (3) AISTATS (2) IJCAI (2)

Top co-authors

Alkis Kalavasis (8) Stratis Skoulakis (5) Christos Tzamos (5) Róbert Busa-Fekete (3) Vasilis Kontonis (3) Panagiotis Patsilinakos (3) Loukas Kavouras (3) Eleni Psaroudaki (3) Dimitrios Rontogiannis (2) Emmanouil Zampetakis (2)

Research topics

Differential Privacy (1)

Keywords

mallows model (4) sample complexity (4) label ranking (2) truthful mechanism (2) ranking datum (2) online algorithm (2) pairwise comparison (2) differential privacy (2) competitive analysis (2) counterfactual explanation (2) parameter estimation (2) combinatorial optimization (2) approximation algorithm (2) metric space (2) facility location (2) statistical testing (2) covariance estimation (1) probabilistic modeling (1) graph theory (1) online learning (1)

Papers

GLANCE: Global Actions in a Nutshell for Counterfactual Explainability AAAI 2026

Improved Bounds for Online Facility Location with Predictions AAAI 2025

On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries AAAI 2025

Polynomial Time Learning Augmented Algorithms for NP-hard Permutation Problems ICML 2025

Fairness Aware Counterfactuals for Subgroups NIPS 2023

Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method NIPS 2023

Linear Label Ranking with Bounded Noise NIPS 2022

Dimensionality and Coordination in Voting: The Distortion of STV AAAI 2022

Differentially Private Regression with Unbounded Covariates AISTATS 2022

Label Ranking through Nonparametric Regression ICML 2022

Perfect Sampling from Pairwise Comparisons NIPS 2022

Private and Non-private Uniformity Testing for Ranking Data NIPS 2021

Aggregating Incomplete and Noisy Rankings AISTATS 2021

Efficient Algorithms for Learning from Coarse Labels COLT 2021

Efficient Online Learning for Dynamic k-Clustering ICML 2021

Identity testing for Mallows model NIPS 2021

Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood Queries AAAI 2021

Efficient Truthful Scheduling and Resource Allocation through Monitoring AAAI 2021

Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent NIPS 2020

Efficient Parameter Estimation of Truncated Boolean Product Distributions COLT 2020

A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders AAAI 2019

Optimal Learning of Mallows Block Model COLT 2019

Reallocating Multiple Facilities on the Line IJCAI 2019

Opinion Dynamics with Local Interactions IJCAI 2016