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Osbert Bastani

59 papers · 2016–2026 · 14 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 42% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Osbert Bastani?

7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Dinesh Jayaraman, Yecheng Jason Ma, Hamsa Bastani 25 papers · 2018–2025 · NeurIPS, ICLR, ICML Hide ▲
Stochastic Online Conformal Prediction with Semi-Bandit Feedback ICML 2025 Vision Language Models are In-Context Value Learners ICLR 2025 Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity ICLR 2025 DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024 DrEureka: Language Model Guided Sim-To-Real Transfer RSS 2024 Environment Curriculum Generation via Large Language Models CoRL 2024 Eureka: Human-Level Reward Design via Coding Large Language Models ICLR 2024 Generative Adversarial Model-Based Optimization via Source Critic Regularization NeurIPS 2024 Learning Performance-Improving Code Edits ICLR 2024 Stochastic Bandits with ReLU Neural Networks ICML 2024 LIV: Language-Image Representations and Rewards for Robotic Control ICML 2023 Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching L4DC 2023 Uniformly Conservative Exploration in Reinforcement Learning AISTATS 2023 VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training ICLR 2023 Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning AAAI 2022 Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression NeurIPS 2022 Regret Bounds for Risk-Sensitive Reinforcement Learning NeurIPS 2022 Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching ICML 2022 Conservative Offline Distributional Reinforcement Learning NeurIPS 2021 Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings ICML 2021 Likelihood-Based Diverse Sampling for Trajectory Forecasting ICCV 2021 Program Synthesis Guided Reinforcement Learning for Partially Observed Environments NeurIPS 2021 Neurosymbolic Transformers for Multi-Agent Communication NeurIPS 2020 Synthesizing Programmatic Policies that Inductively Generalize ICLR 2020 Verifiable Reinforcement Learning via Policy Extraction NeurIPS 2018
5 papers whose co-authors appear nowhere else under this name
Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization ICML 2025 Practical Adversarial Multivalid Conformal Prediction NeurIPS 2022 Algorithms for Fairness in Sequential Decision Making AISTATS 2021 Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems AISTATS 2020 Measuring Neural Net Robustness with Constraints NeurIPS 2016

Venues · all papers under this name

NeurIPS (15) ICML (13) ICLR (11) AISTATS (5) RSS (3) AAAI (2) CoRL (2) EMNLP (2) ACL (1) CVPR (1) ICCV (1) Interspeech (1) L4DC (1) NAACL (1)