3 papers
cs.AI2025
Algorithmic Thinking Theory
MohammadHossein Bateni, Vincent Cohen-Addad, Yuzhou Gu +3
Large language models (LLMs) have proven to be highly effective for solving complex reasoning tasks. Surprisingly, their capabilities can often be improved by iterating on previous…
cs.LG2023
Learning to Reject with a Fixed Predictor: Application to Decontextualization
Christopher Mohri, Daniel Andor, Eunsol Choi +1
We study the problem of classification with a reject option for a fixed predictor, applicable in natural language processing. We introduce a new problem formulation for this scenar…
cs.LG2018
Online Learning Algorithms for Statistical Arbitrage
Christopher Mohri
Statistical arbitrage is a class of financial trading strategies using mean reversion models. The corresponding techniques rely on a number of assumptions which may not hold for ge…