Office: 337B Cory Hall, Berkeley, CA
Email: chihyuan_chiu at berkeley dot edu
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I am a final-year Ph.D. student in the Department of Electrical Engineering at the University of California, Berkeley, under the advisorship of Professor Shankar Sastry. I received my undergraduate degree from the Department of Electrical Engineering at National Taiwan University in 2018.
Class Website: Main class website for EE 16B, Summer 2020.
My research interests include numerical optimization methods in dynamic game theory, optimal control, computer vision, and strategic manipulation and fairness in machine learning.
(* indicates equal contribution)
Chih-Yuan Chiu, David Fridovich-Keil, and Claire Tomlin. Encoding Defensive Driving as a Dynamic Nash Game,
accepted at the IEEE International Conference on Robotics and Automation (ICRA) 2021. [Link]
Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, and Claire Tomlin. Multi-Hypothesis Interactions in Game-Theoretic Motion Planning,
accepted at the IEEE International Conference on Robotics and Automation (ICRA), 2021. [Link]
Rahul Arya, Chih-Yuan Chiu, and Gireeja Ranade. Stabilizability of Vector Systems with Uniform Actuation Unpredictability
, accepted at ISIT, 2021.
[Link]
Forrest Laine, Chih-Yuan Chiu, and Claire Tomlin. Eyes-Closed Safety Kernels: Safety for Autonomous Systems Under Loss of Observability,
accepted at Robotics: Science and Systems, 2020. [Link]
Amay Saxena*, Chih-Yuan Chiu*, Joseph Menke, Ritika Shrivastava, and Shankar Sastry. Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization,
submitted to the IEEE Robotics and Automation Letters (RAL) 2022 and the IEEE International Conference on Robotics and Automation (ICRA), 2022. [Link]
Chinmay Maheshwari*, Chih-Yuan Chiu*, Eric Mazumdar, Shankar Sastry and Lillian J. Ratliff. Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization,
submitted to the International Conference on Artificial Intelligence and Statistics (AISTATS), 2022. [Link]
Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, and Claire Tomlin. The Computation of Approximate Generalized Feedback Nash Equilibria,
submitted to the SIAM Journal on Optimization (SIOPT). [Link]
Chih-Yuan Chiu. Simultaneous Localization and Mapping: A Rapprochement of Filtering and Optimization-Based Approaches,
2021. [Link]
Shankar Sastry - Thomas M. Siebel Professor, Department of Electrical Engineering and Computer Sciences and Department of Bioengineering, UC Berkeley.
Claire Tomlin - Charles A. Desoer Professor, Department of Electrical Engineering and Computer Sciences, Hybrid Systems Laboratory, UC Berkeley.
Lillian J. Ratliff - Assistant Professor, Department of Electrical Engineering, University of Washington.
Eric Mazumdar - Assistant Professor, Department of Computing and Mathematical Sciences and Economics, California Institute of Technology.
David Fridovich-Keil - Assistant Professor, Department of Aerospace Engineering and Engineering Mechanics, UT Austin.
Forrest Laine - Assistant Professor, Department of Computer Science, Vanderbilt University.
Joseph Menke - Researcher, Apple.
Amay Saxena - Researcher, Tesla.
Chinmay Maheshwari - Ph.D. Student, Department of Electrical Engineering and Computer Sciences, UC Berkeley.
(January 2020 - December 2021) Co-organizer of the weekly Semiautonomous Seminar. [Link] (A Berkeley account is required to access the link).