Publications

(Authors listed alphabetically unless not)

Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: Generalized Baselines
Benjamin Schiffer and Lucas Janson
Working Paper 2026
[pdf]

AI Alignment From Social Choice Perspectives
Daniel Halpern, Evi Micha, Ariel D. Procaccia, Benjamin Schiffer, Itai Shapira, Shirley Zhang
SIGecom Exchanges 2026
[pdf]

Finding Common Ground in a Sea of Alternatives
Jay Chooi, Paul Gölz, Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang
EC 2026
[pdf]

Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: √T Regret
Benjamin Schiffer and Lucas Janson
L4DC 2026
[pdf]

Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
Benjamin Schiffer and Mark Sellke
NeurIPS 2025 - Spotlight (3.1% of submissions)
[pdf]

Metritocracy: Representative Metrics for Lite Benchmarks
Ariel D. Procaccia, Benjamin Schiffer, Serena Wang, Shirley Zhang
NeurIPS 2025
[pdf]

Clone-Robust AI Alignment
Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang
ICML 2025
[pdf]

Improved Regret Bounds for Online Fair Division with Bandit Learning
Benjamin Schiffer, Shirley Zhang
AAAI 2025
[pdf]

Multi-Apartment Rent Division
Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang
AAAI 2025 - Oral (4.6% of submissions)
[pdf]

Honor Among Bandits: No-Regret Learning for Online Fair Division
Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang
NeurIPS 2024 - Spotlight (2.1% of submissions)
[pdf]

The Distortion of Binomial Voting Defies Expectation
Yannai Gonczarowski, Gregory Kehne, Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang
NeurIPS 2023
[pdf]

Approximate Trace Reconstruction
Sami Davies, Miklós Z Rácz, Cyrus Rashtchian, Benjamin Schiffer
IEEE International Symposium on Information Theory 2021
[pdf]

Finding a planted clique by adaptive probing
Miklós Z Rácz, Benjamin Schiffer
ALEA Latin American Journal of Probability and Mathematical Statistics, 17:775–790, 2020.
[pdf]