Dimitris Fotakis
24 papers · 2016–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(5)
ποΈ
Keyword Collector
(118)
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Bronze
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Trend Setter
Top co-authors
Research topics
Machine Learning
(21)
Mathematics & Optimization
(14)
Optimization & Theory
(13)
Optimization
(11)
Core Methods
(9)
Artificial Intelligence
(7)
Learning Types
(7)
Core AI
(6)
Mathematics
(4)
Application Areas
(3)
Computer Science
(1)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Security & Privacy
(1)
Bayesian & Probabilistic
(1)
Keywords
mallows model
(5)
sample complexity
(4)
online algorithm
(2)
counterfactual explanation
(2)
facility location
(2)
learning-augmented algorithm
(2)
pairwise comparison
(2)
differential privacy
(2)
metric space
(2)
competitive analysis
(2)
parameter estimation
(2)
combinatorial optimization
(2)
approximation algorithm
(2)
ranking data
(2)
truthful mechanism
(2)
statistical testing
(2)
label ranking
(2)
covariance estimation
(1)
probabilistic modeling
(1)
graph theory
(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
NeurIPS 2023
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method
NeurIPS 2023
Differentially Private Regression with Unbounded Covariates
AISTATS 2022
Dimensionality and Coordination in Voting: The Distortion of STV
AAAI 2022
Label Ranking through Nonparametric Regression
ICML 2022
Linear Label Ranking with Bounded Noise
NeurIPS 2022
Perfect Sampling from Pairwise Comparisons
NeurIPS 2022
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
Efficient Truthful Scheduling and Resource Allocation through Monitoring
AAAI 2021
Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood Queries
AAAI 2021
Identity testing for Mallows model
NeurIPS 2021
Private and Non-private Uniformity Testing for Ranking Data
NeurIPS 2021
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent
NeurIPS 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