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Xingyou Song
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2020 – today
- 2025
- [i30]Xingyou Song, Dara Bahri:
Decoding-based Regression. CoRR abs/2501.19383 (2025) - 2024
- [c16]Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen:
Position: Leverage Foundational Models for Black-Box Optimization. ICML 2024 - [i29]Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen:
OmniPred: Language Models as Universal Regressors. CoRR abs/2402.14547 (2024) - [i28]Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen:
Position: Leverage Foundational Models for Black-Box Optimization. CoRR abs/2405.03547 (2024) - [i27]Xingyou Song, Qiuyi Zhang, Chansoo Lee, Emily Fertig, Tzu-Kuo Huang, Lior Belenki, Greg Kochanski, Setareh Ariafar, Srinivas Vasudevan, Sagi Perel, Daniel Golovin:
The Vizier Gaussian Process Bandit Algorithm. CoRR abs/2408.11527 (2024) - [i26]Tung Nguyen, Qiuyi Zhang, Bangding Yang, Chansoo Lee, Jörg Bornschein, Yingjie Miao, Sagi Perel, Yutian Chen, Xingyou Song:
Predicting from Strings: Language Model Embeddings for Bayesian Optimization. CoRR abs/2410.10190 (2024) - [i25]Eric Tang, Bangding Yang, Xingyou Song:
Understanding LLM Embeddings for Regression. CoRR abs/2411.14708 (2024) - 2023
- [c15]Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha
, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real:
Discovering Adaptable Symbolic Algorithms from Scratch. IROS 2023: 3889-3896 - [c14]Tamás Sarlós, Xingyou Song, David P. Woodruff, Richard Zhang:
Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products. NeurIPS 2023 - [i24]Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real:
Discovering Adaptable Symbolic Algorithms from Scratch. CoRR abs/2307.16890 (2023) - [i23]Tamás Sarlós, Xingyou Song, David P. Woodruff, Qiuyi Zhang:
Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products. CoRR abs/2311.01960 (2023) - 2022
- [j1]Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. J. Artif. Intell. Res. 74: 517-568 (2022) - [c13]Xingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin:
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization. AutoML 2022: 8/1-17 - [c12]Yingjie Miao, Xingyou Song, John D. Co-Reyes, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust:
Differentiable Architecture Search for Reinforcement Learning. AutoML 2022: 20/1-17 - [c11]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:
Towards Learning Universal Hyperparameter Optimizers with Transformers. NeurIPS 2022 - [i22]Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. CoRR abs/2201.03916 (2022) - [i21]Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Qiuyi Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas:
Towards Learning Universal Hyperparameter Optimizers with Transformers. CoRR abs/2205.13320 (2022) - [i20]Xingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin:
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization. CoRR abs/2207.13676 (2022) - 2021
- [c10]Krzysztof Marcin Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Quincy Davis, Afroz Mohiuddin, Lukasz Kaiser, David Benjamin Belanger, Lucy J. Colwell, Adrian Weller:
Rethinking Attention with Performers. ICLR 2021 - [c9]Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Quincy Davis, Adrian Weller:
Debiasing a First-order Heuristic for Approximate Bi-level Optimization. ICML 2021: 6621-6630 - [c8]Valerii Likhosherstov, Krzysztof Marcin Choromanski, Jared Quincy Davis, Xingyou Song, Adrian Weller:
Sub-Linear Memory: How to Make Performers SLiM. NeurIPS 2021: 6707-6719 - [i19]Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Yuxiang Yang:
ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning. CoRR abs/2101.07415 (2021) - [i18]Krzysztof Choromanski, Deepali Jain, Jack Parker-Holder, Xingyou Song, Valerii Likhosherstov, Anirban Santara, Aldo Pacchiano, Yunhao Tang, Adrian Weller:
Unlocking Pixels for Reinforcement Learning via Implicit Attention. CoRR abs/2102.04353 (2021) - [i17]Yingjie Miao, Xingyou Song, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust:
RL-DARTS: Differentiable Architecture Search for Reinforcement Learning. CoRR abs/2106.02229 (2021) - [i16]Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Davis, Adrian Weller:
Debiasing a First-order Heuristic for Approximate Bi-level Optimization. CoRR abs/2106.02487 (2021) - 2020
- [c7]Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi (Richard) Zhang:
Gradientless Descent: High-Dimensional Zeroth-Order Optimization. ICLR 2020 - [c6]Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang:
ES-MAML: Simple Hessian-Free Meta Learning. ICLR 2020 - [c5]Xingyou Song, Yiding Jiang, Stephen Tu, Yilun Du, Behnam Neyshabur:
Observational Overfitting in Reinforcement Learning. ICLR 2020 - [c4]Krzysztof Choromanski, David Cheikhi, Jared Davis, Valerii Likhosherstov, Achille Nazaret, Achraf Bahamou, Xingyou Song, Mrugank Akarte, Jack Parker-Holder, Jacob Bergquist, Yuan Gao
Stochastic Flows and Geometric Optimization on the Orthogonal Group. ICML 2020: 1918-1928 - [c3]Xingyou Song, Yuxiang Yang
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. IROS 2020: 3769-3776 - [c2]Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly:
Robotic Table Tennis with Model-Free Reinforcement Learning. IROS 2020: 5556-5563 - [c1]Krzysztof Marcin Choromanski, Jared Quincy Davis, Valerii Likhosherstov, Xingyou Song, Jean-Jacques E. Slotine, Jacob Varley, Honglak Lee, Adrian Weller, Vikas Sindhwani:
Ode to an ODE. NeurIPS 2020 - [i15]Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan:
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. CoRR abs/2003.01239 (2020) - [i14]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, Tamás Sarlós, Adrian Weller, Vikas Sindhwani:
Stochastic Flows and Geometric Optimization on the Orthogonal Group. CoRR abs/2003.13563 (2020) - [i13]Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly:
Robotic Table Tennis with Model-Free Reinforcement Learning. CoRR abs/2003.14398 (2020) - [i12]Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Jared Davis, Tamás Sarlós, David Belanger, Lucy J. Colwell, Adrian Weller:
Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers. CoRR abs/2006.03555 (2020) - [i11]Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Davis, Adrian Weller:
UFO-BLO: Unbiased First-Order Bilevel Optimization. CoRR abs/2006.03631 (2020) - [i10]Krzysztof Choromanski, Jared Quincy Davis, Valerii Likhosherstov, Xingyou Song, Jean-Jacques E. Slotine, Jacob Varley, Honglak Lee, Adrian Weller, Vikas Sindhwani:
An Ode to an ODE. CoRR abs/2006.11421 (2020) - [i9]Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy J. Colwell, Adrian Weller:
Rethinking Attention with Performers. CoRR abs/2009.14794 (2020) - [i8]Valerii Likhosherstov, Krzysztof Choromanski, Jared Davis, Xingyou Song, Adrian Weller:
Sub-Linear Memory: How to Make Performers SLiM. CoRR abs/2012.11346 (2020)
2010 – 2019
- 2019
- [i7]Alex Irpan, Xingyou Song:
The Principle of Unchanged Optimality in Reinforcement Learning Generalization. CoRR abs/1906.00336 (2019) - [i6]Xingyou Song, Yilun Du, Jacob Jackson:
An Empirical Study on Hyperparameters and their Interdependence for RL Generalization. CoRR abs/1906.00431 (2019) - [i5]Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Deepali Jain, Yuxiang Yang:
Reinforcement Learning with Chromatic Networks. CoRR abs/1907.06511 (2019) - [i4]Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang:
ES-MAML: Simple Hessian-Free Meta Learning. CoRR abs/1910.01215 (2019) - [i3]Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi (Richard) Zhang:
Gradientless Descent: High-Dimensional Zeroth-Order Optimization. CoRR abs/1911.06317 (2019) - [i2]Xingyou Song, Yiding Jiang, Stephen Tu, Yilun Du, Behnam Neyshabur:
Observational Overfitting in Reinforcement Learning. CoRR abs/1912.02975 (2019) - 2017
- [i1]Jordan Prosky, Xingyou Song, Andrew Tan, Michael Zhao:
Sentiment Predictability for Stocks. CoRR abs/1712.05785 (2017)
Coauthor Index
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last updated on 2025-05-15 21:30 CEST by the dblp team
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