Ariel D Procaccia
21 papers · 2014–2024 · 1 venue · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Half πΊοΈ Taxonomy Completionist (40) π Interdisciplinary Bridge Β· Silver π Conference Loyalist (21)
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Keyword Trendsetter Combo
(6)
π§¬
Topic Evolution
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Keyword Champion
(3)
π§
Keyword Pioneer
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Trend Setter
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
ποΈ
Keyword Collector
(118)
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Renaissance Researcher
(6)
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(16)
Artificial Intelligence
(14)
Core AI
(13)
Mathematics & Optimization
(9)
Optimization
(9)
Optimization & Theory
(9)
Learning Types
(6)
Application Areas
(5)
Core Methods
(3)
Bayesian & Probabilistic
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Reinforcement Learning
(1)
Applications
(1)
Keywords
fair division
(4)
game theory
(4)
algorithmic fairness
(3)
preference aggregation
(3)
social choice theory
(3)
social choice
(2)
noisy voting
(2)
voting theory
(2)
voting distortion
(2)
computational social choice
(2)
approval voting
(2)
reward function
(2)
pairwise comparison
(2)
random selection
(2)
signaling games
(1)
explainable ai
(1)
function approximation
(1)
distributed learning
(1)
communication complexity
(1)
bayesian inference
(1)
Papers
Axioms for AI Alignment from Human Feedback
NeurIPS 2024
Bias Detection via Signaling
NeurIPS 2024
Honor Among Bandits: No-Regret Learning for Online Fair Division
NeurIPS 2024
Learning Social Welfare Functions
NeurIPS 2024
Policy Aggregation
NeurIPS 2024
Strategyproof Voting under Correlated Beliefs
NeurIPS 2023
The Distortion of Binomial Voting Defies Expectation
NeurIPS 2023
Is Sortition Both Representative and Fair?
NeurIPS 2022
Recruitment Strategies That Take a Chance
NeurIPS 2022
Robust Rent Division
NeurIPS 2022
Fair Sortition Made Transparent
NeurIPS 2021
Axioms for Learning from Pairwise Comparisons
NeurIPS 2020
Explainable Voting
NeurIPS 2020
Neutralizing Self-Selection Bias in Sampling for Sortition
NeurIPS 2020
Efficient and Thrifty Voting by Any Means Necessary
NeurIPS 2019
Envy-Free Classification
NeurIPS 2019
Paradoxes in Fair Machine Learning
NeurIPS 2019
Collaborative PAC Learning
NeurIPS 2017
Is Approval Voting Optimal Given Approval Votes?
NeurIPS 2015
Diverse Randomized Agents Vote to Win
NeurIPS 2014
Learning Optimal Commitment to Overcome Insecurity
NeurIPS 2014