Ariel D Procaccia
21 papers · 2014–2024 · 1 conference · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (9) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6)
🏃
Academic Marathon
(10)
🐝
Cross-Pollinator
(9)
🌟
Keyword Trendsetter Combo
(4)
🏠
Conference Loyalist
(21)
🏆
Keyword Champion
🔥
Unstoppable
(6)
⚡
Prolific Year
(5)
💎
Century Club
(21)
❓
The Questioner
(2)
📈
Trend Setter
🗃️
Keyword Collector
(111)
Conferences
NIPS (21)
Top co-authors
Keywords
fair division
(4)
game theory
(4)
social choice theory
(3)
algorithmic fairness
(3)
preference aggregation
(2)
pairwise comparison
(2)
voting distortion
(2)
approval voting
(2)
voting theory
(2)
computational social choice
(2)
reward function
(2)
social choice
(2)
random selection
(2)
mechanism design
(1)
signaling games
(1)
preference learning
(1)
explainable ai
(1)
distributed learning
(1)
function approximation
(1)
communication complexity
(1)
Papers
Policy Aggregation
NIPS 2024
Axioms for AI Alignment from Human Feedback
NIPS 2024
Bias Detection via Signaling
NIPS 2024
Learning Social Welfare Functions
NIPS 2024
Honor Among Bandits: No-Regret Learning for Online Fair Division
NIPS 2024
The Distortion of Binomial Voting Defies Expectation
NIPS 2023
Strategyproof Voting under Correlated Beliefs
NIPS 2023
Robust Rent Division
NIPS 2022
Recruitment Strategies That Take a Chance
NIPS 2022
Is Sortition Both Representative and Fair?
NIPS 2022
Fair Sortition Made Transparent
NIPS 2021
Axioms for Learning from Pairwise Comparisons
NIPS 2020
Neutralizing Self-Selection Bias in Sampling for Sortition
NIPS 2020
Explainable Voting
NIPS 2020
Paradoxes in Fair Machine Learning
NIPS 2019
Envy-Free Classification
NIPS 2019
Efficient and Thrifty Voting by Any Means Necessary
NIPS 2019
Collaborative PAC Learning
NIPS 2017
Is Approval Voting Optimal Given Approval Votes?
NIPS 2015
Diverse Randomized Agents Vote to Win
NIPS 2014
Learning Optimal Commitment to Overcome Insecurity
NIPS 2014