Nathan Kallus
Cornell University
H-index: 38
North America-United States
Top articles of Nathan Kallus
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams | arXiv preprint arXiv:2402.06122 | Brian Cho Kyra Gan Nathan Kallus | 2024/2/9 |
Learning the Covariance of Treatment Effects Across Many Weak Experiments | arXiv preprint arXiv:2402.17637 | Aurélien Bibaut Winston Chou Simon Ejdemyr Nathan Kallus | 2024/2/27 |
Hessian-Free Laplace in Bayesian Deep Learning | arXiv preprint arXiv:2403.10671 | James McInerney Nathan Kallus | 2024/3/15 |
Multi-Armed Bandits with Interference | arXiv preprint arXiv:2402.01845 | Su Jia Peter Frazier Nathan Kallus | 2024/2/2 |
Applied causal inference powered by ML and AI | Victor Chernozhukov Chris Hansen Nathan Kallus Martin Spindler Vasilis Syrgkanis | 2024 | |
Risk-Sensitive RL with Optimized Certainty Equivalents via Reduction to Standard RL | arXiv preprint arXiv:2403.06323 | Kaiwen Wang Dawen Liang Nathan Kallus Wen Sun | 2024/3/10 |
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond | Journal of Machine Learning Research | Nathan Kallus Xiaojie Mao Masatoshi Uehara | 2024 |
Offline minimax soft-q-learning under realizability and partial coverage | Advances in Neural Information Processing Systems | Masatoshi Uehara Nathan Kallus Jason D Lee Wen Sun | 2024/2/13 |
Is Cosine-Similarity of Embeddings Really About Similarity? | arXiv preprint arXiv:2403.05440 | Harald Steck Chaitanya Ekanadham Nathan Kallus | 2024/3/8 |
Low-rank MDPs with Continuous Action Spaces | arXiv preprint arXiv:2311.03564 | Andrew Bennett Nathan Kallus Miruna Oprescu | 2023/11/6 |
Future-dependent value-based off-policy evaluation in pomdps | NeurIPS, 2023 (arXiv preprint arXiv:2207.13081) | Masatoshi Uehara Haruka Kiyohara Andrew Bennett Victor Chernozhukov Nan Jiang | 2023 |
Switching the Loss Reduces the Cost in Batch Reinforcement Learning | arXiv preprint arXiv:2403.05385 | Alex Ayoub Kaiwen Wang Vincent Liu Samuel Robertson James McInerney | 2024/3/8 |
Doubly-valid/doubly-sharp sensitivity analysis for causal inference with unmeasured confounding | Journal of the American Statistical Association | Jacob Dorn Kevin Guo Nathan Kallus | 2024/3/26 |
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning | arXiv preprint arXiv:2402.07198 | Kaiwen Wang Owen Oertell Alekh Agarwal Nathan Kallus Wen Sun | 2024/2/11 |
Efficient evaluation of natural stochastic policies in off-line reinforcement learning | Biometrika | Nathan Kallus Masatoshi Uehara | 2024/3/1 |
Fast rates for the regret of offline reinforcement learning | Mathematics of Operations Research | Yichun Hu Nathan Kallus Masatoshi Uehara | 2024/3/25 |
Smooth non-stationary bandits | Su Jia Qian Xie Nathan Kallus Peter I Frazier | 2023/7/3 | |
Robust and agnostic learning of conditional distributional treatment effects | Nathan Kallus Miruna Oprescu | 2023/4/11 | |
Source condition double robust inference on functionals of inverse problems | arXiv preprint arXiv:2307.13793 | Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis | 2023/7/25 |
Off-policy evaluation for large action spaces via policy convolution | Yuta Saito Qingyang Ren Thorsten Joachims | 2023/7/3 |
