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Mihaela van der Schaar
138 publications
Jinsung Yoon
32 publications
Mingyan Liu
20 publications
Atilla Eryilmaz
12 publications
Xueru Zhang
11 publications
Mohammad Mahdi Khalili
9 publications
Alihan Hüyük
8 publications
Mahed Abroshan
8 publications
Doruk Öner
6 publications
Ilker Demirel
5 publications
Kai Hou Yip
4 publications

∙ 08/16/2023

Robust Bayesian Satisficing

Distributional shifts pose a significant challenge to achieving robustne...

0 Artun Saday, et al. ∙

∙ 06/06/2022

Robust Pareto Set Identification with Contaminated Bandit Feedback

We consider the Pareto set identification (PSI) problem in multi-objecti...

0 Kerem Bozgan, et al. ∙

∙ 05/09/2022

Federated Multi-Armed Bandits Under Byzantine Attacks

Multi-armed bandits (MAB) is a simple reinforcement learning model where...

0 Ilker Demirel, et al. ∙

∙ 12/13/2021

Safe Linear Leveling Bandits

Multi-armed bandits (MAB) are extensively studied in various settings wh...

0 Ilker Demirel, et al. ∙

∙ 11/29/2021

Contextual Combinatorial Volatile Bandits with Satisfying via Gaussian Processes

In many real-world applications of combinatorial bandits such as content...

0 Sepehr Elahi, et al. ∙

∙ 11/26/2021

ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine

Finding an optimal individualized treatment regimen is considered one of...

0 Ilker Demirel, et al. ∙

∙ 10/23/2021

Vector Optimization with Stochastic Bandit Feedback

We introduce vector optimization problems with stochastic bandit feedbac...

0 Çağın Ararat, et al. ∙

∙ 10/05/2021

Contextual Combinatorial Volatile Bandits via Gaussian Processes

We consider a contextual bandit problem with a combinatorial action set ...

0 Andi Nika, et al. ∙

∙ 09/08/2021

Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing Values

In high-stakes applications of data-driven decision making like healthca...

11 Mahed Abroshan, et al. ∙

∙ 06/24/2020

Pareto Active Learning with Gaussian Processes and Adaptive Discretization

We consider the problem of optimizing a vector-valued objective function...

0 Andi Nika, et al. ∙

∙ 07/26/2019

Lexicographic Multiarmed Bandit

We consider a multiobjective multiarmed bandit problem with lexicographi...

0 Alihan Hüyük, et al. ∙

∙ 07/07/2019

Thompson Sampling for Combinatorial Network Optimization in Unknown Environments

Influence maximization, item recommendation, adaptive routing and dynami...

0 Alihan Hüyük, et al. ∙

∙ 07/01/2019

Exploiting Relevance for Online Decision-Making in High-Dimensions

Many sequential decision-making tasks require choosing at each decision ...

0 Eralp Turğay, et al. ∙

∙ 05/02/2019

Long term impact of fair machine learning in sequential decision making: representation disparity and group retention

Machine learning models trained on data from multiple demographic groups...

0 Xueru Zhang, et al. ∙

∙ 09/07/2018

Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms

We analyze the regret of combinatorial Thompson sampling (CTS) for the c...

0 Alihan Hüyük, et al. ∙

∙ 03/11/2018

Combinatorial Multi-Objective Multi-Armed Bandit Problem

In this paper, we introduce the COmbinatorial Multi-Objective Multi-Arme...

0 Doruk Öner, et al. ∙

∙ 03/11/2018

Multi-objective Contextual Bandit Problem with Similarity Information

In this paper we propose the multi-objective contextual bandit problem w...

0 Eralp Turğay, et al. ∙

∙ 07/24/2017

Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms: A Case with Bounded Regret

In this paper, we study the combinatorial multi-armed bandit problem (CM...

0 A. Ömer Sarıtaç, et al. ∙

∙ 12/23/2015

Adaptive Ensemble Learning with Confidence Bounds

Extracting actionable intelligence from distributed, heterogeneous, corr...

0 Cem Tekin, et al. ∙

∙ 08/04/2015

Staged Multi-armed Bandits

In this paper, we introduce a new class of reinforcement learning method...

0 Cem Tekin, et al. ∙

∙ 02/05/2015

RELEAF: An Algorithm for Learning and Exploiting Relevance

Recommender systems, medical diagnosis, network security, etc., require ...

0 Cem Tekin, et al. ∙

∙ 09/26/2013

Distributed Online Learning in Social Recommender Systems

In this paper, we consider decentralized sequential decision making in d...

0 Cem Tekin, et al. ∙

∙ 08/21/2013

Distributed Online Learning via Cooperative Contextual Bandits

In this paper we propose a novel framework for decentralized, online lea...

0 Cem Tekin, et al. ∙

∙ 07/02/2013

Distributed Online Big Data Classification Using Context Information

Distributed, online data mining systems have emerged as a result of appl...

0 Cem Tekin, et al. ∙

∙ 05/15/2013

Online Learning in a Contract Selection Problem

In an online contract selection problem there is a seller which offers a...

0 Cem Tekin, et al. ∙

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