Publications

(Authors listed alphabetically unless not)

Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
Ben Schiffer and Mark Sellke
Working Paper
[pdf]

Metritocracy: Representative Metrics for Lite Benchmarks
Ariel D. Procaccia, Ben Schiffer, Serena Wang, Shirley Zhang
Working Paper
[pdf]

Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: √T Regret
Ben Schiffer and Lucas Janson
Working Paper
[pdf]

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

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

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

Multi-Apartment Rent Division
Ariel D. Procaccia, Ben Schiffer, Shirley Zhang
AAAI 2025
[pdf]

Honor Among Bandits: No-Regret Learning for Online Fair Division
Ariel D. Procaccia, Ben Schiffer, Shirley Zhang
NeurIPS 2024 - Spotlight Paper
[pdf]

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

Approximate Trace Reconstruction
Sami Davies, Miklós Z Rácz, Cyrus Rashtchian, Benjamin G 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]