ML-Opt: Romain Camilleri and Swati Padmanabhan
The final talks of the ML-OPT seminar of the spring >
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ML-Opt@UW Stephen Mussmann
Understanding and analyzing the effectiveness of uncertainty sampling Active learning >
ML Opt@ UW: Yue Sun
Speaker: Yue Sun Title: Analysis of Policy Gradient Descent >
ML Opt@ UW: Lang Liu
Speaker: Lang Liu Title: The Sample Complexity of Statistical Comparison >
ML Opt@ UW: Vincent Roulet
Speaker: Vincent Roulet Title: Complexity Bounds of Iterative Linearization Algorithms >
ML Opt @ UW: Yifang Chen
Speaker: Yifang Chen Title: Active Multi-Task Representation Learning Abstract: To >
ML-Opt @ UWash: Krishna Pillutla
Title: MAUVE: Measuring the Gap Between Neural Text and Human >
ML-Opt @ UWash: Sean Welleck
Speaker: Sean Welleck Title: Constrained text generation through discrete and >
MLOpt @ UWash: Steve Mussmann
University of Washington, Seattle 185 E Stevens Way NE, Seattle, WATitle: Data pruning via Machine Teaching Abstract: In this talk, >
MLOpt: Lang Liu
University of Washington, Seattle 185 E Stevens Way NE, Seattle, WASpeaker: Lang Liu Title: Non-Asymptotic Analysis of M-Estimation for Statistical >