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10/11/2022
Regret Analysis of the Stochastic Direct Search Method for Blind Resource Allocation
Motivated by programmatic advertising optimization, we consider the task...
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10/29/2021
A/B/n Testing with Control in the Presence of Subpopulations
Motivated by A/B/n testing applications, we consider a finite set of dis...
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07/05/2021
Fast Rate Learning in Stochastic First Price Bidding
First-price auctions have largely replaced traditional bidding approache...
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06/21/2021
On Limited-Memory Subsampling Strategies for Bandits
There has been a recent surge of interest in nonparametric bandit algori...
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11/10/2020
Efficient Algorithms for Stochastic Repeated Second-price Auctions
Developing efficient sequential bidding strategies for repeated auctions...
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11/02/2020
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting
Contextual sequential decision problems with categorical or numerical ob...
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06/23/2020
A Comparative Study of Temporal Non-Negative Matrix Factorization with Gamma Markov Chains
Non-negative matrix factorization (NMF) has become a well-established cl...
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03/23/2020
Algorithms for Non-Stationary Generalized Linear Bandits
The statistical framework of Generalized Linear Models (GLM) can be appl...
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09/19/2019
Weighted Linear Bandits for Non-Stationary Environments
We consider a stochastic linear bandit model in which the available acti...
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09/30/2015
Learning From Missing Data Using Selection Bias in Movie Recommendation
Recommending items to users is a challenging task due to the large amoun...
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07/16/2014
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models
The stochastic multi-armed bandit model is a simple abstraction that has...
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05/13/2014
On the Complexity of A/B Testing
A/B testing refers to the task of determining the best option among two ...
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08/03/2009