Inference Suboptimality in Variational Autoencoders. - Chris Cremer; Xuechen Li 005; David Duvenaud (ICML, 2018)

Isolating Sources of Disentanglement in Variational Autoencoders. - Tian Qi Chen; Xuechen Li 005; Roger B. Grosse; David Duvenaud (NeurIPS, 2018)

Scalable Gradients and Variational Inference for Stochastic Differential Equations. - Xuechen Li 005; Ting-Kam Leonard Wong; Ricky T. Q. Chen; David Duvenaud (AABI, 2019)

Scalable Gradients for Stochastic Differential Equations. - Xuechen Li 005; Ting-Kam Leonard Wong; Ricky T. Q. Chen; David Duvenaud (AISTATS, 2020)

When does preconditioning help or hurt generalization? - Shun-ichi Amari; Jimmy Ba; Roger Baker Grosse; Xuechen Li 005; Atsushi Nitanda; Taiji Suzuki; Denny Wu; Ji Xu (ICLR, 2021)

Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations. - Winnie Xu; Ricky T. Q. Chen; Xuechen Li 005; David Duvenaud (AISTATS, 2022)

Large Language Models Can Be Strong Differentially Private Learners. - Xuechen Li 005; Florian Tramèr; Percy Liang; Tatsunori Hashimoto (ICLR, 2022)

When Does Differentially Private Learning Not Suffer in High Dimensions? - Xuechen Li 005; Daogao Liu; Tatsunori B. Hashimoto; Huseyin A. Inan; Janardhan Kulkarni; Yin Tat Lee; Abhradeep Guha Thakurta (NeurIPS, 2022)

A Closer Look at the Calibration of Differentially Private Learners. - Hanlin Zhang 002; Xuechen Li 005; Prithviraj Sen; Salim Roukos; Tatsunori Hashimoto (CoRR, 2022)

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. - Yann Dubois; Xuechen Li 005; Rohan Taori; Tianyi Zhang; Ishaan Gulrajani; Jimmy Ba; Carlos Guestrin; Percy Liang; Tatsunori B. Hashimoto (CoRR, 2023)

Foundation Models and Fair Use. - Peter Henderson 002; Xuechen Li 005; Dan Jurafsky; Tatsunori Hashimoto; Mark A. Lemley; Percy Liang (J. Mach. Learn. Res., 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; et al. (Trans. Mach. Learn. Res., 2023)

Linguistic Calibration of Long-Form Generations. - Neil Band; Xuechen Li 005; Tengyu Ma 001; Tatsunori Hashimoto (ICML, 2024)

Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. - Daniel Kang; Xuechen Li 005; Ion Stoica; Carlos Guestrin; Matei Zaharia; Tatsunori Hashimoto (SP (Workshops), 2024)

Linguistic Calibration of Language Models. - Neil Band; Xuechen Li 005; Tengyu Ma 001; Tatsunori Hashimoto (CoRR, 2024)