Finding a planted clique by adaptive probing. - Miklós Z. Rácz; Benjamin Schiffer (CoRR, 2019)

Approximate Trace Reconstruction. - Sami Davies; Miklós Z. Rácz; Cyrus Rashtchian; Benjamin G. Schiffer (CoRR, 2020)

Approximate Trace Reconstruction: Algorithms. - Sami Davies; Miklós Z. Rácz; Benjamin G. Schiffer; Cyrus Rashtchian (ISIT, 2021)

The Distortion of Binomial Voting Defies Expectation. - Yannai A. Gonczarowski; Gregory Kehne; Ariel D. Procaccia; Ben Schiffer; Shirley Zhang 001 (NeurIPS, 2023)

Honor Among Bandits: No-Regret Learning for Online Fair Division. - Ariel D. Procaccia; Ben Schiffer; Shirley Zhang 001 (NeurIPS, 2024)

Stronger Regret Bounds for Safe Online Reinforcement Learning in the Linear Quadratic Regulator. - Benjamin Schiffer; Lucas Janson (CoRR, 2024)

Multi-Apartment Rent Division. - Ariel D. Procaccia; Benjamin Schiffer; Shirley Zhang 001 (AAAI, 2025)

Improved Regret Bounds for Online Fair Division with Bandit Learning. - Benjamin Schiffer; Shirley Zhang 001 (AAAI, 2025)

Clone-Robust AI Alignment. - Ariel D. Procaccia; Benjamin Schiffer; Shirley Zhang 001 (CoRR, 2025)

Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: √T-Regret. - Benjamin Schiffer; Lucas Janson (CoRR, 2025)

Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts. - Benjamin Schiffer; Mark Sellke (CoRR, 2025)

Metritocracy: Representative Metrics for Lite Benchmarks. - Ariel D. Procaccia; Benjamin Schiffer; Serena Wang 002; Shirley Zhang 001 (CoRR, 2025)