Regret Analysis of Dyadic Search

09/02/2022
by   François Bachoc, et al.
0

We analyze the cumulative regret of the Dyadic Search algorithm of Bachoc et al. [2022].

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/30/2011

Why 'GSA: A Gravitational Search Algorithm' Is Not Genuinely Based on the Law of Gravity

Why 'GSA: A Gravitational Search Algorithm' Is Not Genuinely Based on th...
research
08/31/2022

Clairvoyant Regret Minimization: Equivalence with Nemirovski's Conceptual Prox Method and Extension to General Convex Games

A recent paper by Piliouras et al. [2021, 2022] introduces an uncoupled ...
research
10/11/2022

Regret Analysis of the Stochastic Direct Search Method for Blind Resource Allocation

Motivated by programmatic advertising optimization, we consider the task...
research
10/14/2022

A comparative study of the performance of different search algorithms on FOON graphs

A robot finds it really hard to learn creatively and adapt to new unseen...
research
01/03/2023

Fitting mixed logit random regret minimization models using maximum simulated likelihood

This article describes the mixrandregret command, which extends the rand...
research
02/08/2015

Learning to Search Better Than Your Teacher

Methods for learning to search for structured prediction typically imita...
research
03/09/2012

Regret Bounds for Deterministic Gaussian Process Bandits

This paper analyses the problem of Gaussian process (GP) bandits with de...

Please sign up or login with your details

Forgot password? Click here to reset