Audrey Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
6
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COLT | Learning to Reason with Curriculum I: Provable Benefits of Autocurriculum. | Nived Rajaraman, Audrey Huang, Miro Dudk, Robert E. Schapire, Dylan J. Foster, Akshay Krishnamurthy |
| 2025 | COLT | Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier: Autoregressive and Imitation Learning under Misspecification (extended abstract). | Dhruv Rohatgi, Adam Block, Audrey Huang, Akshay Krishnamurthy, Dylan J. Foster |
| 2025 | ICLR | Self-Improvement in Language Models: The Sharpening Mechanism. | Audrey Huang, Adam Block, Dylan J. Foster, Dhruv Rohatgi, Cyril Zhang, Max Simchowitz, Jordan T. Ash, Akshay Krishnamurthy |
| 2025 | ICLR | Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization. | Audrey Huang, Wenhao Zhan, Tengyang Xie, Jason D. Lee, Wen Sun, Akshay Krishnamurthy, Dylan J. Foster |
| 2025 | ICML | Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment. | Audrey Huang, Adam Block, Qinghua Liu, Nan Jiang, Akshay Krishnamurthy, Dylan J. Foster |
| 2024 | AISTATS | Timing as an Action: Learning When to Observe and Act. | Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli, David Childers, Zachary C. Lipton |
| 2023 | CISS | Extended Abstract: Learning in Low-rank MDPs with Density Features. | Audrey Huang, Jinglin Chen, Nan Jiang |
| 2023 | ICML | Reinforcement Learning in Low-rank MDPs with Density Features. | Audrey Huang, Jinglin Chen, Nan Jiang |
| 2022 | AISTATS | Off-Policy Risk Assessment for Markov Decision Processes. | Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli |
| 2022 | COLT | Offline Reinforcement Learning with Realizability and Single-policy Concentrability. | Wenhao Zhan, Baihe Huang, Audrey Huang, Nan Jiang, Jason D. Lee |
| 2022 | ICML | Supervised Learning with General Risk Functionals. | Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli |
| 2019 | CoRL | Graph-Structured Visual Imitation. | Maximilian Sieb, Xian Zhou, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki |