Li, Xuechen

16 publications

ICML 2024 Linguistic Calibration of Long-Form Generations Neil Band, Xuechen Li, Tengyu Ma, Tatsunori Hashimoto

ICMLW 2023 Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto

ICLR 2023 Exploring the Limits of Differentially Private Deep Learning with Group-Wise Clipping Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian

JMLR 2023 Foundation Models and Fair Use Peter Henderson, Xuechen Li, Dan Jurafsky, Tatsunori Hashimoto, Mark A. Lemley, Percy Liang

TMLR 2023 Holistic Evaluation of Language Models Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D Manning, Christopher Re, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Andrew Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda

AISTATS 2022 Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations Winnie Xu, Ricky T. Q. Chen, Xuechen Li, David Duvenaud

ICLR 2022 Large Language Models Can Be Strong Differentially Private Learners Xuechen Li, Florian Tramer, Percy Liang, Tatsunori Hashimoto

NeurIPS 2022 When Does Differentially Private Learning Not Suffer in High Dimensions? Xuechen Li, Daogao Liu, Tatsunori B Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin-Tat Lee, Abhradeep Guha Thakurta

NeurIPS 2021 Efficient and Accurate Gradients for Neural SDEs Patrick Kidger, James Foster, Xuechen Li, Terry Lyons

ICML 2021 Neural SDEs as Infinite-Dimensional GANs Patrick Kidger, James Foster, Xuechen Li, Terry J Lyons

NeurIPSW 2021 Simple Baselines Are Strong Performers for Differentially Private Natural Language Processing Xuechen Li, Florian Tramer, Percy Liang, Tatsunori Hashimoto

ICLR 2021 When Does Preconditioning Help or Hurt Generalization? Shun-ichi Amari, Jimmy Ba, Roger Baker Grosse, Xuechen Li, Atsushi Nitanda, Taiji Suzuki, Denny Wu, Ji Xu

AISTATS 2020 Scalable Gradients for Stochastic Differential Equations Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud

NeurIPS 2019 Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond Xuechen Li, Yi Wu, Lester Mackey, Murat A Erdogdu

ICML 2018 Inference Suboptimality in Variational Autoencoders Chris Cremer, Xuechen Li, David Duvenaud

NeurIPS 2018 Isolating Sources of Disentanglement in Variational Autoencoders Ricky T. Q. Chen, Xuechen Li, Roger B Grosse, David K. Duvenaud