Song, Xingyou

17 publications

TMLR 2025 Decoding-Based Regression Xingyou Song, Dara Bahri

TMLR 2025 Understanding LLM Embeddings for Regression Eric Tang, Bangding Yang, Xingyou Song

TMLR 2024 OmniPred: Language Models as Universal Regressors Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen

ICML 2024 Position: Leverage Foundational Models for Black-Box Optimization Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen

NeurIPS 2023 Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products Tamas Sarlos, Xingyou Song, David Woodruff, Richard Zhang

JAIR 2022 Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer

AutoML 2022 Differentiable Architecture Search for Reinforcement Learning Yingjie Miao, Xingyou Song, John D Co-Reyes, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust

AutoML 2022 Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization Xingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin

NeurIPS 2022 Towards Learning Universal Hyperparameter Optimizers with Transformers Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Richard Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas

ICML 2021 Debiasing a First-Order Heuristic for Approximate Bi-Level Optimization Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Q Davis, Adrian Weller

ICLR 2021 Rethinking Attention with Performers Krzysztof Marcin Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Quincy Davis, Afroz Mohiuddin, Lukasz Kaiser, David Benjamin Belanger, Lucy J Colwell, Adrian Weller

NeurIPS 2021 Sub-Linear Memory: How to Make Performers SLiM Valerii Likhosherstov, Krzysztof M Choromanski, Jared Quincy Davis, Xingyou Song, Adrian Weller

ICLR 2020 ES-MAML: Simple Hessian-Free Meta Learning Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang

ICLR 2020 Gradientless Descent: High-Dimensional Zeroth-Order Optimization Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi Zhang

ICLR 2020 Observational Overfitting in Reinforcement Learning Xingyou Song, Yiding Jiang, Stephen Tu, Yilun Du, Behnam Neyshabur

NeurIPS 2020 Ode to an ODE Krzysztof M Choromanski, Jared Quincy Davis, Valerii Likhosherstov, Xingyou Song, Jean-Jacques Slotine, Jacob Varley, Honglak Lee, Adrian Weller, Vikas Sindhwani

ICML 2020 Stochastic Flows and Geometric Optimization on the Orthogonal Group Krzysztof Choromanski, David Cheikhi, Jared Davis, Valerii Likhosherstov, Achille Nazaret, Achraf Bahamou, Xingyou Song, Mrugank Akarte, Jack Parker-Holder, Jacob Bergquist, Yuan Gao, Aldo Pacchiano, Tamas Sarlos, Adrian Weller, Vikas Sindhwani