Kevin G. Jamieson

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Fair Active Learning in Low-Data Regimes.

[BibT_eX]

[DOI]

CoRR, 2023

Minimax Optimal Submodular Optimization with Bandit Feedback.

[BibT_eX]

[DOI]

Artin Tajdini

CoRR, 2023

Query-Efficient Algorithms to Find the Unique Nash Equilibrium in a Two-Player Zero-Sum Matrix Game.

[BibT_eX]

[DOI]

CoRR, 2023

Pick Planning Strategies for Large-Scale Package Manipulation.

[BibT_eX]

[DOI]

CoRR, 2023

Logarithmic Regret for Matrix Games against an Adversary with Noisy Bandit Feedback.

[BibT_eX]

[DOI]

Arnab Maiti

Lillian J. Ratliff

CoRR, 2023

LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Large-Scale Package Manipulation via Learned Metrics of Pick Success.

[BibT_eX]

[DOI]

CoRR, 2023

Demonstrating Large-Scale Package Manipulation via Learned Metrics of Pick Success.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Optimal Exploration for Model-Based RL in Nonlinear Systems.

[BibT_eX]

[DOI]

Guanya Shi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Active representation learning for general task space with applications in robotics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improved Active Multi-Task Representation Learning via Lasso.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games.

[BibT_eX]

[DOI]

Arnab Maiti

Lillian J. Ratliff

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Sample-efficient identification of high-dimensional antibiotic synergy with a normalized diagonal sampling design.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2022

Active Learning with Safety Constraints.

[BibT_eX]

[DOI]

CoRR, 2022

Identifying New Podcasts with High General Appeal Using a Pure Exploration Infinitely-Armed Bandit Strategy.

[BibT_eX]

[DOI]

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Instance-optimal PAC Algorithms for Contextual Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Learning with Safety Constraints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Active Multi-Task Representation Learning.

[BibT_eX]

[DOI]

Yifang Chen

Simon S. Du

Proceedings of the International Conference on Machine Learning, 2022

Beyond No Regret: Instance-Dependent PAC Reinforcement Learning.

[BibT_eX]

[DOI]

Andrew J. Wagenmaker

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Best Arm Identification with Safety Constraints.

[BibT_eX]

[DOI]

Zhenlin Wang

Andrew J. Wagenmaker

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Nearly Optimal Algorithms for Level Set Estimation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Corruption Robust Active Learning.

[BibT_eX]

[DOI]

Yifang Chen

Simon S. Du

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Selective Sampling for Online Best-arm Identification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding.

[BibT_eX]

[DOI]

Ethan K. Gordon

Sumegh Roychowdhury

Tapomayukh Bhattacharjee

Siddhartha S. Srinivasa

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Task-Optimal Exploration in Linear Dynamical Systems.

[BibT_eX]

[DOI]

Andrew J. Wagenmaker

Proceedings of the 38th International Conference on Machine Learning, 2021

Improved Algorithms for Agnostic Pool-based Active Classification.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Improved Corruption Robust Algorithms for Episodic Reinforcement Learning.

[BibT_eX]

[DOI]

Yifang Chen

Simon S. Du

Proceedings of the 38th International Conference on Machine Learning, 2021

High-dimensional Experimental Design and Kernel Bandits.

[BibT_eX]

[DOI]

Romain Camilleri

Julian Katz-Samuels

Proceedings of the 38th International Conference on Machine Learning, 2021

Experimental Design for Regret Minimization in Linear Bandits.

[BibT_eX]

[DOI]

Julian Katz-Samuels

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Learning to Actively Learn: A Robust Approach.

[BibT_eX]

[DOI]

Jifan Zhang

CoRR, 2020

An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A System for Massively Parallel Hyperparameter Tuning.

[BibT_eX]

[DOI]

Proceedings of the Third Conference on Machine Learning and Systems, 2020

Estimating the Number and Effect Sizes of Non-null Hypotheses.

[BibT_eX]

[DOI]

Jennifer Brennan

Ramya Korlakai Vinayak

Proceedings of the 37th International Conference on Machine Learning, 2020

Active Learning for Identification of Linear Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2020

Mosaic: A Sample-Based Database System for Open World Query Processing.

[BibT_eX]

[DOI]

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

The True Sample Complexity of Identifying Good Arms.

[BibT_eX]

[DOI]

Julian Katz-Samuels

Dimitris S. Papailiopoulos

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

SysML: The New Frontier of Machine Learning Systems.

[BibT_eX]

[DOI]

Alexandros G. Dimakis

Anastasios Kyrillidis

Shivaram Venkataraman

CoRR, 2019

Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning.

[BibT_eX]

[DOI]

CoRR, 2019

Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A New Perspective on Pool-Based Active Classification and False-Discovery Control.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sequential Experimental Design for Transductive Linear Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Massively Parallel Hyperparameter Tuning.

[BibT_eX]

[DOI]

CoRR, 2018

A Bandit Approach to Multiple Testing with False Discovery Control.

[BibT_eX]

[DOI]

CoRR, 2018

Adaptive Sampling for Convex Regression.

[BibT_eX]

[DOI]

CoRR, 2018

A Bandit Approach to Sequential Experimental Design with False Discovery Control.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Firing Bandits: Optimizing Crowdfunding.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

NEXT: A system to easily connect crowdsourcing and adaptive data collection.

[BibT_eX]

[DOI]

Proceedings of the 16th Python in Science Conference 2017, 2017

A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime.

[BibT_eX]

[DOI]

Proceedings of the 30th Conference on Learning Theory, 2017

2016

Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits.

[BibT_eX]

[DOI]

CoRR, 2016

On the Detection of Mixture Distributions with applications to the Most Biased Coin Problem.

[BibT_eX]

[DOI]

Daniel Haas

CoRR, 2016

The Power of Adaptivity in Identifying Statistical Alternatives.

[BibT_eX]

[DOI]

Daniel Haas

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Finite Sample Prediction and Recovery Bounds for Ordinal Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Best-of-K-bandits.

[BibT_eX]

[DOI]

Proceedings of the 29th Conference on Learning Theory, 2016

Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Non-stochastic Best Arm Identification and Hyperparameter Optimization.

[BibT_eX]

[DOI]

Ameet Talwalkar

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Sparse Dueling Bandits.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits.

[BibT_eX]

[DOI]

Proceedings of The 27th Conference on Learning Theory, 2014

Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting.

[BibT_eX]

[DOI]

Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

2013

On Finding the Largest Mean Among Many.

[BibT_eX]

[DOI]

CoRR, 2013

2012

Query Complexity of Derivative-Free Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Channel-Robust Classifiers.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2011

Active Ranking using Pairwise Comparisons.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Low-dimensional embedding using adaptively selected ordinal data.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

Training a support vector machine to classify signals in a real environment given clean training data.

[BibT_eX]

[DOI]