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Author Information
Eric Zhan (California Institute of Technology)
Albert Tseng (Caltech)
Yisong Yue (Caltech)
Yisong Yue is an assistant professor in the Computing and Mathematical Sciences Department at the California Institute of Technology. He was previously a research scientist at Disney Research. Before that, he was a postdoctoral researcher in the Machine Learning Department and the iLab at Carnegie Mellon University. He received a Ph.D. from Cornell University and a B.S. from the University of Illinois at Urbana-Champaign. Yisong's research interests lie primarily in the theory and application of statistical machine learning. He is particularly interested in developing novel methods for interactive machine learning and structured prediction. In the past, his research has been applied to information retrieval, recommender systems, text classification, learning from rich user interfaces, analyzing implicit human feedback, data-driven animation, behavior analysis, sports analytics, policy learning in robotics, and adaptive planning & allocation problems.
Adith Swaminathan (Microsoft Research)
Matthew Hausknecht (Microsoft Research)
More from the Same Authors
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2022 Workshop: Adaptive Experimental Design and Active Learning in the Real World »
Mojmir Mutny · Willie Neiswanger · Ilija Bogunovic · Stefano Ermon · Yisong Yue · Andreas Krause -
2022 Poster: Investigating Generalization by Controlling Normalized Margin »
Alexander Farhang · Jeremy Bernstein · Kushal Tirumala · Yang Liu · Yisong Yue -
2022 Spotlight: Investigating Generalization by Controlling Normalized Margin »
Alexander Farhang · Jeremy Bernstein · Kushal Tirumala · Yang Liu · Yisong Yue -
2022 Poster: LyaNet: A Lyapunov Framework for Training Neural ODEs »
Ivan Dario Jimenez Rodriguez · Aaron Ames · Yisong Yue -
2022 Spotlight: LyaNet: A Lyapunov Framework for Training Neural ODEs »
Ivan Dario Jimenez Rodriguez · Aaron Ames · Yisong Yue -
2021 : Personalized Preference Learning - from Spinal Cord Stimulation to Exoskeletons »
Yisong Yue -
2021 Poster: Learning by Turning: Neural Architecture Aware Optimisation »
Yang Liu · Jeremy Bernstein · Markus Meister · Yisong Yue -
2021 Spotlight: Learning by Turning: Neural Architecture Aware Optimisation »
Yang Liu · Jeremy Bernstein · Markus Meister · Yisong Yue -
2020 Workshop: Real World Experiment Design and Active Learning »
Ilija Bogunovic · Willie Neiswanger · Yisong Yue -
2020 Poster: Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis »
Jung Yeon Park · Kenneth Carr · Stephan Zheng · Yisong Yue · Rose Yu -
2020 Poster: Working Memory Graphs »
Ricky Loynd · Roland Fernandez · Asli Celikyilmaz · Adith Swaminathan · Matthew Hausknecht -
2019 Workshop: Real-world Sequential Decision Making: Reinforcement Learning and Beyond »
Hoang Le · Yisong Yue · Adith Swaminathan · Byron Boots · Ching-An Cheng -
2019 Poster: Batch Policy Learning under Constraints »
Hoang Le · Cameron Voloshin · Yisong Yue -
2019 Oral: Batch Policy Learning under Constraints »
Hoang Le · Cameron Voloshin · Yisong Yue -
2019 Poster: Control Regularization for Reduced Variance Reinforcement Learning »
Richard Cheng · Abhinav Verma · Gabor Orosz · Swarat Chaudhuri · Yisong Yue · Joel Burdick -
2019 Oral: Control Regularization for Reduced Variance Reinforcement Learning »
Richard Cheng · Abhinav Verma · Gabor Orosz · Swarat Chaudhuri · Yisong Yue · Joel Burdick -
2018 Poster: Iterative Amortized Inference »
Joe Marino · Yisong Yue · Stephan Mandt -
2018 Poster: Hierarchical Imitation and Reinforcement Learning »
Hoang Le · Nan Jiang · Alekh Agarwal · Miroslav Dudik · Yisong Yue · Hal Daumé III -
2018 Oral: Iterative Amortized Inference »
Joe Marino · Yisong Yue · Stephan Mandt -
2018 Oral: Hierarchical Imitation and Reinforcement Learning »
Hoang Le · Nan Jiang · Alekh Agarwal · Miroslav Dudik · Yisong Yue · Hal Daumé III -
2018 Poster: Stagewise Safe Bayesian Optimization with Gaussian Processes »
Yanan Sui · Vincent Zhuang · Joel Burdick · Yisong Yue -
2018 Oral: Stagewise Safe Bayesian Optimization with Gaussian Processes »
Yanan Sui · Vincent Zhuang · Joel Burdick · Yisong Yue -
2018 Tutorial: Imitation Learning »
Yisong Yue · Hoang Le -
2017 Poster: Coordinated Multi-Agent Imitation Learning »
Hoang Le · Yisong Yue · Peter Carr · Patrick Lucey -
2017 Talk: Coordinated Multi-Agent Imitation Learning »
Hoang Le · Yisong Yue · Peter Carr · Patrick Lucey