Online Learning Algorithms for Statistical Arbitrage. - Christopher Mohri (CoRR, 2018)

Theory and Algorithm for Batch Distribution Drift Problems. - Pranjal Awasthi; Corinna Cortes; Christopher Mohri (AISTATS, 2023)

Two-Stage Learning to Defer with Multiple Experts. - Anqi Mao; Christopher Mohri; Mehryar Mohri; Yutao Zhong 002 (NeurIPS, 2023)

Learning to Reject with a Fixed Predictor: Application to Decontextualization. - Christopher Mohri; Daniel Andor; Eunsol Choi; Michael Collins 001 (CoRR, 2023)

Learning to Reject with a Fixed Predictor: Application to Decontextualization. - Christopher Mohri; Daniel Andor; Eunsol Choi; Michael Collins 001; Anqi Mao; Yutao Zhong 002 (ICLR, 2024)

Language Models with Conformal Factuality Guarantees. - Christopher Mohri; Tatsunori Hashimoto (ICML, 2024)

Cardinality-Aware Set Prediction and Top-$k$ Classification. - Corinna Cortes; Anqi Mao; Christopher Mohri; Mehryar Mohri; Yutao Zhong 002 (NeurIPS, 2024)