732 citations · 3.8k across the 103 of their papers we have counts for
109 papers
High-dimensional online calibration from harmonic weights
Maxwell Fishelson, Mehryar Mohri
We study the online calibration of multidimensional forecasts over an arbitrary convex set relative to an arbitrary error norm . For forecas…
Beyond Binary: Continuous State Optimization with Graph-Structured Objectives
Corinna Cortes, Yishay Mansour, Mehryar Mohri
Large-scale learning systems often face the challenge of balancing multiple, potentially competing objectives, such as fairness, accuracy, and latency. While recent work has formal…
Principled Algorithms for Optimizing Generalized Metrics in Multi-Label Learning
Mehryar Mohri, Yutao Zhong
Many real-world classification tasks require predicting multiple labels per instance, necessitating the optimization of complex evaluation metrics such as the -measure and Jacca…
Generalized Distributional Alignment Games for Unbiased Answer-Level Fine-Tuning
Mehryar Mohri, Jon Schneider, Yutao Zhong
The Distributional Alignment Game framework provides a powerful variational perspective on Answer-Level Fine-Tuning (ALFT). However, standard algorithms for these games rely on est…
Theoretical Foundations and Effective Algorithms for Policy-Aware Simulator Learning
Christoph Dann, Yishay Mansour, Mehryar Mohri
Model-based reinforcement learning (MBRL) agents typically learn world models by minimizing predictive loss. However, powerful RL optimizers inevitably exploit minor model inaccura…
Distributional Alignment Games for Answer-Level Fine-Tuning
Mehryar Mohri, Jon Schneider, Yifan Wu
We focus on the problem of \emph{Answer-Level Fine-Tuning} (ALFT), where the goal is to optimize a language model based on the correctness or properties of its final answers, rathe…