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- Osbert Bastani
University of Pennsylvania, PA, USA
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Publication search results
found 157 matches
- 2024
- Stephen Mell
, Steve Zdancewic
, Osbert Bastani
:
Optimal Program Synthesis via Abstract Interpretation. Proc. ACM Program. Lang. 8(POPL): 457-481 (2024) - Haosen Ge, Hamsa Bastani, Osbert Bastani:
Rethinking Fairness for Human-AI Collaboration (Extended Abstract). ITCS 2024: 52:1-52:1 - Michael S. Yao, Yimeng Zeng, Hamsa Bastani, Jacob R. Gardner, James C. Gee, Osbert Bastani:
Generative Adversarial Bayesian Optimization for Surrogate Objectives. CoRR abs/2402.06532 (2024) - Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban:
Uncertainty in Language Models: Assessment through Rank-Calibration. CoRR abs/2404.03163 (2024) - Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert Bastani:
Stochastic Bandits with ReLU Neural Networks. CoRR abs/2405.07331 (2024) - Stephen Mell, Steve Zdancewic, Osbert Bastani:
An Opportunistically Parallel Lambda Calculus for Performant Composition of Large Language Models. CoRR abs/2405.11361 (2024) - Haosen Ge, Hamsa Bastani, Osbert Bastani:
Stochastic Online Conformal Prediction with Semi-Bandit Feedback. CoRR abs/2405.13268 (2024) - Ramya Ramalingam, Sangdon Park, Osbert Bastani:
Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction. CoRR abs/2405.15912 (2024) - Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding:
One-Shot Safety Alignment for Large Language Models via Optimal Dualization. CoRR abs/2405.19544 (2024) - Yecheng Jason Ma, William Liang, Hung-Ju Wang, Sam Wang, Yuke Zhu, Linxi Fan, Osbert Bastani, Dinesh Jayaraman:
DrEureka: Language Model Guided Sim-To-Real Transfer. CoRR abs/2406.01967 (2024) - Wentao Guo, Jikai Long, Yimeng Zeng, Zirui Liu, Xinyu Yang, Yide Ran, Jacob R. Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, Zhaozhuo Xu:
Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity. CoRR abs/2406.02913 (2024) - 2023
- Wanqiao Xu, Yecheng Jason Ma, Kan Xu, Hamsa Bastani, Osbert Bastani:
Uniformly Conservative Exploration in Reinforcement Learning. AISTATS 2023: 10856-10870 - Rajeev Alur
, Osbert Bastani
, Kishor Jothimurugan
, Mateo Perez
, Fabio Somenzi
, Ashutosh Trivedi
:
Policy Synthesis and Reinforcement Learning for Discounted LTL. CAV (1) 2023: 415-435 - Stephen Mell
, Favyen Bastani
, Steve Zdancewic
, Osbert Bastani
:
Synthesizing Trajectory Queries from Examples. CAV (1) 2023: 459-484 - Wenwen Si, Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani:
Angelic Patches for Improving Third-Party Object Detector Performance. CVPR 2023: 24638-24647 - Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang:
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training. ICLR 2023 - Kishor Jothimurugan, Steve Hsu, Osbert Bastani, Rajeev Alur:
Robust Subtask Learning for Compositional Generalization. ICML 2023: 15371-15387 - Adam Khakhar, Stephen Mell, Osbert Bastani:
PAC Prediction Sets for Large Language Models of Code. ICML 2023: 16237-16249 - Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman:
LIV: Language-Image Representations and Rewards for Robotic Control. ICML 2023: 23301-23320 - Yahan Yang, Sunghye Cho, Maxine Covello, Azia Knox, Osbert Bastani, James Weimer, Edgar Dobriban, Robert T. Schultz, Insup Lee, Julia Parish-Morris:
Automatically Predicting Perceived Conversation Quality in a Pediatric Sample Enriched for Autism. INTERSPEECH 2023: 4603-4607 - Yanju Chen, Chenglong Wang, Xinyu Wang
, Osbert Bastani, Yu Feng:
Fast and Reliable Program Synthesis via User Interaction. ASE 2023: 963-975 - Yecheng Jason Ma, Kausik Sivakumar, Jason Yan, Osbert Bastani, Dinesh Jayaraman:
Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching. L4DC 2023: 259-271 - Sangdon Park, Osbert Bastani, Taesoo Kim:
ACon2: Adaptive Conformal Consensus for Provable Blockchain Oracles. USENIX Security Symposium 2023: 3313-3330 - Kavi Gupta, Osbert Bastani, Armando Solar-Lezama
:
SPARLING: Learning Latent Representations with Extremely Sparse Activations. CoRR abs/2302.01976 (2023) - Kishor Jothimurugan
, Steve Hsu, Osbert Bastani, Rajeev Alur:
Robust Subtask Learning for Compositional Generalization. CoRR abs/2302.02984 (2023) - Adam Khakhar, Stephen Mell, Osbert Bastani:
PAC Prediction Sets for Large Language Models of Code. CoRR abs/2302.08703 (2023) - Yecheng Jason Ma, Kausik Sivakumar, Jason Yan, Osbert Bastani, Dinesh Jayaraman:
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching. CoRR abs/2305.12663 (2023) - Rajeev Alur, Osbert Bastani, Kishor Jothimurugan, Mateo Perez, Fabio Somenzi, Ashutosh Trivedi:
Policy Synthesis and Reinforcement Learning for Discounted LTL. CoRR abs/2305.17115 (2023) - Natalie Maus, Yimeng Zeng, Daniel Allen Anderson, Phillip M. Maffettone, Aaron Solomon, Peyton Greenside, Osbert Bastani, Jacob R. Gardner:
Inverse Protein Folding Using Deep Bayesian Optimization. CoRR abs/2305.18089 (2023) - Yecheng Jason Ma, William Liang, Vaidehi Som, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman:
LIV: Language-Image Representations and Rewards for Robotic Control. CoRR abs/2306.00958 (2023)
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