Cem Tekin
13 papers · 2014–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (26)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🗃️
Keyword Collector
(63)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Mathematics & Optimization
(9)
Optimization
(9)
Learning Types
(8)
Optimization & Theory
(7)
Artificial Intelligence
(5)
Core AI
(5)
Healthcare & Medicine
(3)
Application Areas
(3)
Clinical
(3)
Core Methods
(2)
Data Science & Analytics
(1)
Applications
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Keywords
regret bound
(6)
multi-armed bandit
(5)
contextual bandit
(4)
sequential decision making
(3)
sequential decision
(3)
sample complexity
(2)
thompson sampling
(2)
pareto set identification
(2)
upper confidence bound
(2)
multi-objective optimization
(2)
adaptive discretization
(1)
machine learning
(1)
algorithmic fairness
(1)
online learning algorithm
(1)
exploration exploitation
(1)
optimization
(1)
bayesian inference
(1)
greedy policy
(1)
exploration-exploitation tradeoff
(1)
bayesian optimization
(1)
Papers
Unified Screening for Multiple Diseases
ICML 2025
Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits
AISTATS 2024
Robust Bayesian Satisficing
NeurIPS 2023
Vector Optimization with Stochastic Bandit Feedback
AISTATS 2023
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine
NeurIPS 2022
Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms
AISTATS 2021
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning
ICLR 2021
Contextual Combinatorial Volatile Multi-armed Bandit with Adaptive Discretization
AISTATS 2020
Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms
AISTATS 2019
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness
NeurIPS 2019
Multi-objective Contextual Bandit Problem with Similarity Information
AISTATS 2018
Global Multi-armed Bandits with Hölder Continuity
AISTATS 2015
Discovering, Learning and Exploiting Relevance
NeurIPS 2014