Dimitris Fotakis
24 papers · 2016–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π§ Keyword Pioneer π Academic Marathon (9) π Conference Polyglot (6) π Renaissance Researcher (6)
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Renaissance Researcher
(6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(42)
π
Keyword Champion
π
Century Club
(23)
π
Conference Pioneer
π
Trend Setter
π₯
Unstoppable
(5)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(112)
Conferences
AAAI (7)
NIPS (7)
COLT (3)
ICML (3)
AISTATS (2)
IJCAI (2)
Top co-authors
Research topics
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