Web%0 Conference Paper %T Generalization and Equilibrium in Generative Adversarial Nets (GANs) %A Sanjeev Arora %A Rong Ge %A Yingyu Liang %A Tengyu Ma %A Yi Zhang %B Proceedings of the 34th International Conference on Machine Learning %C Proceedings of Machine Learning Research %D 2024 %E Doina Precup %E Yee Whye Teh %F pmlr … WebI visited Stanford University from April 2024 to January 2024, advised by Prof. Tengyu Ma. I visited University of Oxford from September 2024 to January 2024, advised by Prof. Shimon Whiteson. I was a research intern in the Machine Learning Group at Microsoft Research Asia from July 2024 to March 2024, advised by Dr. Wei Chen.

1 Reinforcement Learning - machine-learning-upenn.github.io

WebShengjia Zhao, Tengyu Ma, Stefano Ermon Individual Calibration with Randomized Forecasting ICML-20. In Proc. 37th International Conference on Machine Learning, 2024. Jiaming Song, Stefano Ermon Bridging the … WebarXiv.org e-Print archive kings island family pass

A S TOUGH TO-BEAT BASELINE FOR SEN TENCE E

http://cs229.stanford.edu/notes2024spring/cs229-notes-deep_learning.pdf WebJun 29, 2024 · Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization Sang Michael Xie, Tengyu Ma, Percy Liang We focus on prediction problems with structured outputs that are subject to output validity constraints, e.g. pseudocode-to-code translation where the code must compile. WebI was a visiting student researcher at Stanford University from Feb, 2024, advised by Prof. Tengyu Ma. My research interests include reinforcement learning and deep learning. My goal is to develop sample-efficient reinforcement learning algorithms with strong robustness and interpretability. kings island family pass 2022