Xingyou Song - RankMe

54 papers A* 12A 3Journal 37Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Decoding-based Regression. CoRR Xingyou Song, Dara Bahri
2025	J	`jnl`	Decoding-based Regression. Trans. Mach. Learn. Res. Xingyou Song, Dara Bahri
2025	J	`jnl`	Performance Prediction for Large Systems via Text-to-Text Regression. CoRR Yash Akhauri, Bryan Lewandowski, Cheng-Hsi Lin, Adrian N. Reyes, Grant C. Forbes, Arissa Wongpanich, Bangding Yang, Mohamed S. Abdelfattah, Sagi Perel, Xingyou Song
2025	J	`jnl`	Regression Language Models for Code. CoRR Yash Akhauri, Xingyou Song, Arissa Wongpanich, Bryan Lewandowski, Mohamed S. Abdelfattah
2025	A*	`conf`	Towards Robust Mathematical Reasoning. EMNLP Thang Luong, Dawsen Hwang, Hoang H. Nguyen, Golnaz Ghiasi, Yuri Chervonyi, Insuk Seo, Junsu Kim, Garrett Bingham, Jonathan Lee, Swaroop Mishra, Alex Zhai, Clara Huiyi Hu, Henryk Michalewski, Jimin Kim, Jeonghyun Ahn, Junhwi Bae, Xingyou Song, Trieu H. Trinh, Quoc V. Le, Junehyuk Jung
2025	J	`jnl`	Towards Robust Mathematical Reasoning. CoRR Thang Luong, Dawsen Hwang, Hoang H. Nguyen, Golnaz Ghiasi, Yuri Chervonyi, Insuk Seo, Junsu Kim, Garrett Bingham, Jonathan Lee, Swaroop Mishra, Alex Zhai, Clara Huiyi Hu, Henryk Michalewski, Jimin Kim, Jeonghyun Ahn, Junhwi Bae, Xingyou Song, Trieu H. Trinh, Quoc V. Le, Junehyuk Jung
2025	J	`jnl`	Understanding LLM Embeddings for Regression. Trans. Mach. Learn. Res. Eric Tang, Bangding Yang, Xingyou Song
2024	J	`jnl`	OmniPred: Language Models as Universal Regressors. CoRR Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen
2024	J	`jnl`	OmniPred: Language Models as Universal Regressors. Trans. Mach. Learn. Res. Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen
2024	A*	`conf`	Position: Leverage Foundational Models for Black-Box Optimization. ICML Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen
2024	J	`jnl`	Position: Leverage Foundational Models for Black-Box Optimization. CoRR Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen
2024	J	`jnl`	Predicting from Strings: Language Model Embeddings for Bayesian Optimization. CoRR Tung Nguyen, Qiuyi Zhang, Bangding Yang, Chansoo Lee, Jörg Bornschein, Yingjie Miao, Sagi Perel, Yutian Chen, Xingyou Song
2024	J	`jnl`	The Vizier Gaussian Process Bandit Algorithm. CoRR Xingyou Song, Qiuyi Zhang, Chansoo Lee, Emily Fertig, Tzu-Kuo Huang, Lior Belenki, Greg Kochanski, Setareh Ariafar, Srinivas Vasudevan, Sagi Perel, Daniel Golovin
2024	J	`jnl`	Understanding LLM Embeddings for Regression. CoRR Eric Tang, Bangding Yang, Xingyou Song
2023	A	`conf`	Discovering Adaptable Symbolic Algorithms from Scratch. IROS Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real
2023	J	`jnl`	Discovering Adaptable Symbolic Algorithms from Scratch. CoRR Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real
2023	A*	`conf`	Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products. NeurIPS Tamás Sarlós, Xingyou Song, David P. Woodruff, Richard Zhang
2023	J	`jnl`	Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products. CoRR Tamás Sarlós, Xingyou Song, David P. Woodruff, Qiuyi Zhang
2022	J	`jnl`	Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. CoRR 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
2022	J	`jnl`	Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. J. Artif. Intell. Res. 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
2022	—	`conf`	Differentiable Architecture Search for Reinforcement Learning. AutoML Yingjie Miao, Xingyou Song, John D. Co-Reyes, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust
2022	—	`conf`	Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization. AutoML Xingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin
2022	J	`jnl`	Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization. CoRR Xingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin
2022	A*	`conf`	Towards Learning Universal Hyperparameter Optimizers with Transformers. NeurIPS 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
2022	J	`jnl`	Towards Learning Universal Hyperparameter Optimizers with Transformers. CoRR 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
2021	A*	`conf`	Debiasing a First-order Heuristic for Approximate Bi-level Optimization. ICML Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Quincy Davis, Adrian Weller
2021	J	`jnl`	Debiasing a First-order Heuristic for Approximate Bi-level Optimization. CoRR Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Davis, Adrian Weller
2021	J	`jnl`	ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning. CoRR Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Yuxiang Yang
2021	J	`jnl`	RL-DARTS: Differentiable Architecture Search for Reinforcement Learning. CoRR Yingjie Miao, Xingyou Song, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust
2021	A*	`conf`	Rethinking Attention with Performers. ICLR 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
2021	A*	`conf`	Sub-Linear Memory: How to Make Performers SLiM. NeurIPS Valerii Likhosherstov, Krzysztof Marcin Choromanski, Jared Quincy Davis, Xingyou Song, Adrian Weller
2021	J	`jnl`	Unlocking Pixels for Reinforcement Learning via Implicit Attention. CoRR Krzysztof Choromanski, Deepali Jain, Jack Parker-Holder, Xingyou Song, Valerii Likhosherstov, Anirban Santara, Aldo Pacchiano, Yunhao Tang, Adrian Weller
2020	J	`jnl`	An Ode to an ODE. CoRR Krzysztof Choromanski, Jared Quincy Davis, Valerii Likhosherstov, Xingyou Song, Jean-Jacques E. Slotine, Jacob Varley, Honglak Lee, Adrian Weller, Vikas Sindhwani
2020	A*	`conf`	ES-MAML: Simple Hessian-Free Meta Learning. ICLR Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang
2020	A*	`conf`	Gradientless Descent: High-Dimensional Zeroth-Order Optimization. ICLR Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi (Richard) Zhang
2020	J	`jnl`	Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers. CoRR Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Jared Davis, Tamás Sarlós, David Belanger, Lucy J. Colwell, Adrian Weller
2020	A*	`conf`	Observational Overfitting in Reinforcement Learning. ICLR Xingyou Song, Yiding Jiang, Stephen Tu, Yilun Du, Behnam Neyshabur
2020	A*	`conf`	Ode to an ODE. NeurIPS Krzysztof Marcin Choromanski, Jared Quincy Davis, Valerii Likhosherstov, Xingyou Song, Jean-Jacques E. Slotine, Jacob Varley, Honglak Lee, Adrian Weller, Vikas Sindhwani
2020	A	`conf`	Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. IROS Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan
2020	J	`jnl`	Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. CoRR Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan
2020	J	`jnl`	Rethinking Attention with Performers. CoRR 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
2020	A	`conf`	Robotic Table Tennis with Model-Free Reinforcement Learning. IROS Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly
2020	J	`jnl`	Robotic Table Tennis with Model-Free Reinforcement Learning. CoRR Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly
2020	A*	`conf`	Stochastic Flows and Geometric Optimization on the Orthogonal Group. ICML 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
2020	J	`jnl`	Stochastic Flows and Geometric Optimization on the Orthogonal Group. CoRR 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
2020	J	`jnl`	Sub-Linear Memory: How to Make Performers SLiM. CoRR Valerii Likhosherstov, Krzysztof Choromanski, Jared Davis, Xingyou Song, Adrian Weller
2020	J	`jnl`	UFO-BLO: Unbiased First-Order Bilevel Optimization. CoRR Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Davis, Adrian Weller
2019	J	`jnl`	An Empirical Study on Hyperparameters and their Interdependence for RL Generalization. CoRR Xingyou Song, Yilun Du, Jacob Jackson
2019	J	`jnl`	ES-MAML: Simple Hessian-Free Meta Learning. CoRR Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang
2019	J	`jnl`	Gradientless Descent: High-Dimensional Zeroth-Order Optimization. CoRR Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi (Richard) Zhang
2019	J	`jnl`	Observational Overfitting in Reinforcement Learning. CoRR Xingyou Song, Yiding Jiang, Stephen Tu, Yilun Du, Behnam Neyshabur
2019	J	`jnl`	Reinforcement Learning with Chromatic Networks. CoRR Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Deepali Jain, Yuxiang Yang
2019	J	`jnl`	The Principle of Unchanged Optimality in Reinforcement Learning Generalization. CoRR Alex Irpan, Xingyou Song
2017	J	`jnl`	Sentiment Predictability for Stocks. CoRR Jordan Prosky, Xingyou Song, Andrew Tan, Michael Zhao