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Articles by Kevin Jamieson

Active learning of neural population dynamics using two-photon holographic optogenetics
4 February 2025 by Andrew Wagenmaker and others
Neurons and Cognition, Machine Learning
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
20 December 2024 by Yiping Wang and others
Machine Learning, Computer Vision and Pattern Recognition
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning
18 December 2024 by Jifan Zhang and others
Machine Learning, Artificial Intelligence
Nearly Minimax Optimal Submodular Maximization with Bandit Feedback
12 December 2024 by Artin Tajdini and others
Machine Learning
Rethinking Data Synthesis: A Teacher Model Training Recipe with Interpretation
9 December 2024 by Yifang Chen and others
Computation and Language, Artificial Intelligence
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
26 October 2024 by Andrew Wagenmaker and others
Machine Learning, Robotics
Query-Efficient Algorithm to Find all Nash Equilibria in a Two-Player Zero-Sum Matrix Game
4 September 2024 by Arnab Maiti and others at LogoUniversity of Washington
Computer Science and Game Theory
Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning
9 July 2024 by Yifang Chen and others
Machine Learning, Artificial Intelligence
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
8 July 2024 by Gantavya Bhatt and others at LogoUniversity of Wisconsin-Madison
Computation and Language, Artificial Intelligence
Optimizing Configuration Selection in Reconfigurable-Antenna MIMO Systems: Physics-Inspired Heuristic Solvers
25 June 2024 by Ioannis Krikidis and others
Information Theory, Signal Processing
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
11 June 2024 by Adhyyan Narang and others
Machine Learning, Artificial Intelligence
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning
1 March 2024 by Jifan Zhang and others
Machine Learning, Artificial Intelligence
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity
15 February 2024 by Zhihan Xiong and others
Machine Learning
Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning
3 February 2024 by Yiping Wang and others
Machine Learning, Artificial Intelligence
Fair Active Learning in Low-Data Regimes
13 December 2023 by Romain Camilleri and others
Machine Learning, Computers and Society
Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits
27 November 2023 by Arnab Maiti and others
Machine Learning, Computer Science and Game Theory
Logarithmic Regret for Matrix Games against an Adversary with Noisy Bandit Feedback
24 October 2023 by Arnab Maiti and others
Machine Learning, Computer Science and Game Theory
Optimal Exploration is no harder than Thompson Sampling
24 October 2023 by Zhaoqi Li and others
Machine Learning
Pick Planning Strategies for Large-Scale Package Manipulation
8 October 2023 by Shuai Li and others
Robotics, Artificial Intelligence
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
20 July 2023 by Andrew Wagenmaker and Kevin Jamieson
Machine Learning
Demonstrating Large-Scale Package Manipulation via Learned Metrics of Pick Success
27 June 2023 by Shuai Li and others
Robotics, Artificial Intelligence
Optimal Exploration for Model-Based RL in Nonlinear Systems
15 June 2023 by Andrew Wagenmaker and others
Machine Learning, Robotics
Active Representation Learning for General Task Space with Applications in Robotics
15 June 2023 by Yifang Chen and others
Machine Learning, Robotics
Improved Active Multi-Task Representation Learning via Lasso
5 June 2023 by Yiping Wang and others
Machine Learning, Artificial Intelligence
The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime
23 April 2023 by Max Simchowitz and others
Machine Learning
Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games
19 March 2023 by Arnab Maiti and others
Computer Science and Game Theory, Machine Learning
Instance-optimal PAC Algorithms for Contextual Bandits
5 July 2022 by Zhaoqi Li and others
Machine Learning
Active Learning with Safety Constraints
22 June 2022 by Romain Camilleri and others
Machine Learning
Beyond No Regret: Instance-Dependent PAC Reinforcement Learning
22 June 2022 by Andrew Wagenmaker and others
Machine Learning
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes
18 June 2022 by Andrew Wagenmaker and others
Machine Learning
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