
EigenGame Unloaded: When playing games is better than optimizing
We build on the recently proposed EigenGame that views eigendecompositio...
read it

Asymptotically Optimal InformationDirected Sampling
We introduce a computationally efficient algorithm for finite stochastic...
read it

The Elliptical Potential Lemma Revisited
This note proposes a new proof and new perspectives on the socalled Ell...
read it

EigenGame: PCA as a Nash Equilibrium
We present a novel view on principal component analysis (PCA) as a compe...
read it

Confident OffPolicy Evaluation and Selection through SelfNormalized Importance Weighting
We consider offpolicy evaluation in the contextual bandit setting for t...
read it

Stochastic bandits with armdependent delays
Significant work has been recently dedicated to the stochastic delayed b...
read it

NonStationary Bandits with Intermediate Observations
Online recommender systems often face long delays in receiving feedback,...
read it

Solving Bernoulli RankOne Bandits with Unimodal Thompson Sampling
Stochastic RankOne Bandits (Katarya et al, (2017a,b)) are a simple fram...
read it

Weighted Linear Bandits for NonStationary Environments
We consider a stochastic linear bandit model in which the available acti...
read it

Contextual Bandits under Delayed Feedback
Delayed feedback is an ubiquitous problem in many industrial systems emp...
read it

Max Karmed bandit: On the ExtremeHunter algorithm and beyond
This paper is devoted to the study of the max Karmed bandit problem, wh...
read it

Bernoulli Rank1 Bandits for Click Feedback
The probability that a user will click a search result depends both on i...
read it

Stochastic Rank1 Bandits
We propose stochastic rank1 bandits, a class of online learning problem...
read it

Learning From Missing Data Using Selection Bias in Movie Recommendation
Recommending items to users is a challenging task due to the large amoun...
read it
Claire Vernade
is this you? claim profile