Jeff Schneider
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
12
Active years
1997–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks. | Rohit Sonker, Alexandre Capone, Andrew Rothstein, Hiro Josep Farre Kaga, Egemen Kolemen, Jeff Schneider |
| 2025 | ICML | Training a Generally Curious Agent. | Fahim Tajwar, Yiding Jiang, Abitha Thankaraj, Sumaita Sadia Rahman, J. Zico Kolter, Jeff Schneider, Russ Salakhutdinov |
| 2025 | ICRA | Planning with Adaptive World Models for Autonomous Driving. | Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan |
| 2024 | ICLR | Reasoning with Latent Diffusion in Offline Reinforcement Learning. | Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella, John M. Dolan, Jeff Schneider, Glen Berseth |
| 2024 | ICML | Sampling-based Multi-dimensional Recalibration. | Youngseog Chung, Ian Char, Jeff Schneider |
| 2024 | ICML | Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data. | Fahim Tajwar, Anikait Singh, Archit Sharma, Rafael Rafailov, Jeff Schneider, Tengyang Xie, Stefano Ermon, Chelsea Finn, Aviral Kumar |
| 2023 | CoRL | Stealthy Terrain-Aware Multi-Agent Active Search. | Nikhil Angad Bakshi, Jeff Schneider |
| 2023 | ECAI | Cost-Awareness in Multi-Agent Active Search. | Arundhati Banerjee, Ramina Ghods, Jeff Schneider |
| 2023 | ICLR | Near-optimal Policy Identification in Active Reinforcement Learning. | Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic |
| 2023 | ICML | Learning Temporally AbstractWorld Models without Online Experimentation. | Benjamin Freed, Siddarth Venkatraman, Guillaume Adrien Sartoretti, Jeff Schneider, Howie Choset |
| 2022 | ICLR | An Experimental Design Perspective on Model-Based Reinforcement Learning. | Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger |
| 2022 | ICML | Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning. | Adam R. Villaflor, Zhe Huang, Swapnil Pande, John M. Dolan, Jeff Schneider |
| 2022 | ICRA | Robust Reinforcement Learning via Genetic Curriculum. | Yeeho Song, Jeff Schneider |
| 2022 | WACV | SBEVNet: End-to-End Deep Stereo Layout Estimation. | Divam Gupta, Wei Pu, Trenton Tabor, Jeff Schneider |
| 2021 | ICRA | Multi-Agent Active Search using Realistic Depth-Aware Noise Model. | Ramina Ghods, William J. Durkin, Jeff Schneider |
| 2021 | ICRA | Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning | Zhiqian Qiao, Jeff Schneider, John M. Dolan |
| 2021 | UAI | Decentralized multi-agent active search for sparse signals. | Ramina Ghods, Arundhati Banerjee, Jeff Schneider |
| 2020 | AISTATS | ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations. | Ksenia Korovina, Sailun Xu, Kirthevasan Kandasamy, Willie Neiswanger, Barnabs Pczos, Jeff Schneider, Eric P. Xing |
| 2020 | ICRA | Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions. | Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider, David Bradley, Nemanja Djuric |
| 2020 | ICRA | Human Driver Behavior Prediction based on UrbanFlow | Zhiqian Qiao, Jing Zhao, Jin Zhu, Zachariah Tyree, Priyantha Mudalige, Jeff Schneider, John M. Dolan |
| 2020 | IROS | Hierarchical Reinforcement Learning Method for Autonomous Vehicle Behavior Planning. | Zhiqian Qiao, Zachariah Tyree, Priyantha Mudalige, Jeff Schneider, John M. Dolan |
| 2020 | WACV | Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving. | Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Nitin Singh, Jeff Schneider |
| 2019 | ICML | Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments. | Kirthevasan Kandasamy, Willie Neiswanger, Reed Zhang, Akshay Krishnamurthy, Jeff Schneider, Barnabs Pczos |
| 2019 | ICRA | Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. | Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric |
| 2018 | AISTATS | Parallelised Bayesian Optimisation via Thompson Sampling. | Kirthevasan Kandasamy, Akshay Krishnamurthy, Jeff Schneider, Barnabs Pczos |
| 2018 | ICML | Transformation Autoregressive Networks. | Junier B. Oliva, Avinava Dubey, Manzil Zaheer, Barnabs Pczos, Ruslan Salakhutdinov, Eric P. Xing, Jeff Schneider |
| 2017 | IJCAI | Scaling Active Search using Linear Similarity Functions. | Sibi Venkatesan, James Kyle Miller, Jeff Schneider, Artur Dubrawski |
| 2016 | KDD | Bayesian Optimization and Embedded Learning Systems. | Jeff Schneider |
| 2005 | ITC | Panel: business constraints drive test decisions. | Jeff Schneider |
| 1997 | AISTATS | Memory Based Stochastic Optimization for Validation and Tuning of Function Approximators. | Artur Dubrawski, Jeff Schneider |