FIELD NOTES TOPIC
variance reduction
3 notes, newest first.
AV-AIVAT: 74x Cheaper Agent Evaluation with Certified Anytime-Valid Stopping in Imperfect-Information Games
The paper introduces AV-AIVAT, a method for evaluating agents in games like poker, which reduces variance by 54 times using AIVAT and continuously monitored Confidence Sequences (CS). The new method stops evaluations…
AV-AIVAT: 74x Cheaper Agent Evaluation with Certified Anytime-Valid Stopping in Imperfect-Information Games
The paper introduces AV-AIVAT, a tool for evaluating the strength of two agents in imperfect-information games like Heads-Up No-Limit Hold'em (HUNL). AV-AIVAT reduces variance by using conditional mean-zero corrections…
Variance-reduced Domain Adaptation using Paired Sampling
The paper proposes Paired Sampling for Domain Adaptation (PSDA), a new stochastic variance reduction technique designed for distribution-matching frameworks in unsupervised domain adaptation (UDA) that suffer from high…
