Leonidas Tsepenekas

10 papers · 2019–2024 · 5 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (10) 🗺️ Taxonomy Completionist (16) 🌍 Conference Polyglot (5) 💎 Century Club (10) 🔥 Unstoppable (6) 🚀 Conference Pioneer

Conferences

AAAI (3) AISTATS (3) NIPS (2) ICML (1) IJCAI (1)

Top co-authors

Aravind Srinivasan (7) John Dickerson (3) Anil Vullikanti (3) Brian Brubach (3) Darshan Chakrabarti (3) John P. Dickerson (2) Michael Dinitz (2) Freddy Lecue (2) Daniele Magazzeni (2) Da Qi Chen (1)

Keywords

approximation algorithm (7) individual fairness (3) fair clustering (2) combinatorial optimization (2) feature importance (1) linear programming (1) semi-supervised learning (1) discrete mathematics (1) pac learning (1) multi-armed bandit (1) probabilistic model (1) network diffusion (1) graph cut (1) similarity function (1) fairness constraint (1) k-center clustering (1) online matching (1) must-link constraint (1) distribution shift (1) bipartite matching (1)

Papers

SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features AAAI 2024

Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions NIPS 2023

Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers IJCAI 2023

Fair Disaster Containment via Graph-Cut Problems AISTATS 2022

A New Notion of Individually Fair Clustering: $α$-Equitable $k$-Center AISTATS 2022

Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks AISTATS 2022

Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints AAAI 2021

A Pairwise Fair and Community-preserving Approach to k-Center Clustering ICML 2020

Probabilistic Fair Clustering NIPS 2020

A Unified Approach to Online Matching with Conflict-Aware Constraints AAAI 2019