Ian Char - RankMe

21 papers A* 7Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	—	`—`	Advancing Model-Based Reinforcement Learning with Applications in Nuclear Fusion Ian Char
2024	J	`jnl`	Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks. CoRR Ian Char, Youngseog Chung, Joseph Abbate, Egemen Kolemen, Jeff G. Schneider
2024	A*	`conf`	Sampling-based Multi-dimensional Recalibration. ICML Youngseog Chung, Ian Char, Jeff Schneider
2023	A*	`conf`	Near-optimal Policy Identification in Active Reinforcement Learning. ICLR Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic
2023	—	`conf`	Offline Model-Based Reinforcement Learning for Tokamak Control. L4DC Ian Char, Joseph Abbate, Laszlo Bardoczi, Mark D. Boyer, Youngseog Chung, Rory Conlin, Keith Erickson, Viraj Mehta, Nathan Richner, Egemen Kolemen, Jeff G. Schneider
2023	A*	`conf`	PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks. NeurIPS Ian Char, Jeff Schneider
2023	J	`jnl`	PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks. CoRR Ian Char, Jeff G. Schneider
2022	J	`jnl`	BATS: Best Action Trajectory Stitching. CoRR Ian Char, Viraj Mehta, Adam Villaflor, John M. Dolan, Jeff Schneider
2022	A*	`conf`	Deep Attentive Variational Inference. ICLR Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld, Artur Dubrawski
2022	A*	`conf`	Exploration via Planning for Information about the Optimal Trajectory. NeurIPS Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark D. Boyer, Stefano Ermon, Jeff Schneider, Willie Neiswanger
2022	J	`jnl`	Exploration via Planning for Information about the Optimal Trajectory. CoRR Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark D. Boyer, Stefano Ermon, Jeff Schneider, Willie Neiswanger
2022	J	`jnl`	How Useful are Gradients for OOD Detection Really? CoRR Conor Igoe, Youngseog Chung, Ian Char, Jeff Schneider
2022	J	`jnl`	Near-optimal Policy Identification in Active Reinforcement Learning. CoRR Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic
2021	A*	`conf`	Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification. NeurIPS Youngseog Chung, Willie Neiswanger, Ian Char, Jeff Schneider
2021	—	`conf`	Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CDC Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff G. Schneider
2021	J	`jnl`	Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification. CoRR Youngseog Chung, Ian Char, Han Guo, Jeff Schneider, Willie Neiswanger
2020	J	`jnl`	Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification. CoRR Youngseog Chung, Willie Neiswanger, Ian Char, Jeff Schneider
2020	J	`jnl`	Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CoRR Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider
2020	J	`jnl`	Offline Contextual Bayesian Optimization for Nuclear Fusion. CoRR Youngseog Chung, Ian Char, Willie Neiswanger, Kirthevasan Kandasamy, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider
2019	A*	`conf`	Offline Contextual Bayesian Optimization. NeurIPS Ian Char, Youngseog Chung, Willie Neiswanger, Kirthevasan Kandasamy, Oak Nelson, Mark D. Boyer, Egemen Kolemen
2014	—	`conf`	Toward a non-intrusive, physio- behavioral biometric for smartphones. Mobile HCI Esther Vasiete, Yan Chen, Ian Char, Tom Yeh, Vishal M. Patel, Larry S. Davis, Rama Chellappa