← Authors

Kevin Jamieson

38 papers · 2014–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (9) πŸ”¬ Deep Specialist (13) πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (57) πŸ’Ž Century Club (38) ⚑ Prolific Year (11) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (6)

Conferences

AISTATS (11) ICML (11) COLT (6) NIPS (6) ACL (1) JMLR (1) RSS (1) UAI (1)

Top co-authors

Lalit Jain (8) Andrew Wagenmaker (7) Yifang Chen (7) Max Simchowitz (6) Robert Nowak (6) Simon Du (5) Arnab Maiti (4) Julian Katz-Samuels (4) Andrew J Wagenmaker (4) Romain Camilleri (4)

Keywords

sample complexity (11) multi-armed bandit (8) active learning (7) reinforcement learning (6) experimental design (5) regret bound (4) pure exploration (4) linear bandit (3) best arm identification (3) regret minimization (3) pac learning (3) zero-sum game (2) linear mdp (2) matrix game (2) nash equilibrium (2) representation learning (2) hyperparameter optimization (2) multi-task learning (2) adaptive sampling (2) optimal policy (2)

Papers

Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals ICML 2025
Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries COLT 2025
Active learning of neural population dynamics using two-photon holographic optogenetics NIPS 2024
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL NIPS 2024
Nearly Minimax Optimal Submodular Maximization with Bandit Feedback NIPS 2024
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning NIPS 2024
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models ACL 2024
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning NIPS 2024
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning NIPS 2024
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity AISTATS 2024
Optimal Exploration is no harder than Thompson Sampling AISTATS 2024
Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits AISTATS 2024
Fair Active Learning in Low-Data Regimes UAI 2024
Demonstrating Large-Scale Package Manipulation via Learned Metrics of Pick Success RSS 2023
Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games AISTATS 2023
Improved Active Multi-Task Representation Learning via Lasso ICML 2023
Best Arm Identification with Safety Constraints AISTATS 2022
Beyond No Regret: Instance-Dependent PAC Reinforcement Learning COLT 2022
Active Multi-Task Representation Learning ICML 2022
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach ICML 2022
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes ICML 2022
Nearly Optimal Algorithms for Level Set Estimation AISTATS 2022
Experimental Design for Regret Minimization in Linear Bandits AISTATS 2021
High-dimensional Experimental Design and Kernel Bandits ICML 2021
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021
Improved Algorithms for Agnostic Pool-based Active Classification ICML 2021
Task-Optimal Exploration in Linear Dynamical Systems ICML 2021
Active Learning for Identification of Linear Dynamical Systems COLT 2020
The True Sample Complexity of Identifying Good Arms AISTATS 2020
Estimating the Number and Effect Sizes of Non-null Hypotheses ICML 2020
Firing Bandits: Optimizing Crowdfunding ICML 2018
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization JMLR 2018
The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime COLT 2017
Non-stochastic Best Arm Identification and Hyperparameter Optimization AISTATS 2016
Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls AISTATS 2016
Best-of-K-bandits COLT 2016
Sparse Dueling Bandits AISTATS 2015
lil’ UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits COLT 2014