Janson, Lucas

14 publications

ICLR 2025 A New Perspective on Shampoo's Preconditioner Depen Morwani, Itai Shapira, Nikhil Vyas, Eran Malach, Sham M. Kakade, Lucas Janson

NeurIPS 2025 Bernstein–von Mises for Adaptively Collected Data Kevin Du, Yash Nair, Lucas Janson

AAAI 2025 Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, Lucas Janson

AAAI 2025 Evaluating Index-Based Treatment Allocation in Underresourced Communities Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe

ICLR 2025 SOAP: Improving and Stabilizing Shampoo Using Adam for Language Modeling Nikhil Vyas, Depen Morwani, Rosie Zhao, Itai Shapira, David Brandfonbrener, Lucas Janson, Sham M. Kakade

NeurIPS 2024 Optimal Ablation for Interpretability Maximilian Li, Lucas Janson

NeurIPSW 2024 SOAP: Improving and Stabilizing Shampoo Using Adam Nikhil Vyas, Depen Morwani, Rosie Zhao, Itai Shapira, David Brandfonbrener, Lucas Janson, Sham M. Kakade

ICML 2024 Total Variation Floodgate for Variable Importance Inference in Classification Wenshuo Wang, Lucas Janson, Lihua Lei, Aaditya Ramdas

NeurIPSW 2024 Transformers Can Reinforcement Learn to Approximate Gittins Index Vladimir Petrov, Nikhil Vyas, Lucas Janson

L4DC 2022 A Simple and Efficient Sampling-Based Algorithm for General Reachability Analysis Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone

JMLR 2021 Exact Asymptotics for Linear Quadratic Adaptive Control Feicheng Wang, Lucas Janson

NeurIPS 2021 Statistical Inference with M-Estimators on Adaptively Collected Data Kelly Zhang, Lucas Janson, Susan Murphy

NeurIPS 2020 Cross-Validation Confidence Intervals for Test Error Pierre Bayle, Alexandre Bayle, Lucas Janson, Lester W. Mackey

NeurIPS 2020 Inference for Batched Bandits Kelly Zhang, Lucas Janson, Susan Murphy