| 2026 | STOC | Mixing of General Biased Adjacent Transposition Chains. | Reza Gheissari, Holden Lee, Eric Vigoda |
| 2025 | COLT | Learning Mixtures of Gaussians Using Diffusion Models. | Khashayar Gatmiry, Jonathan A. Kelner, Holden Lee |
| 2025 | COLT | Efficiently learning and sampling multimodal distributions with data-based initialization. | Frederic Koehler, Holden Lee, Thuy-Duong Vuong |
| 2024 | ACL | When is a Language Process a Language Model? | Li Du, Holden Lee, Jason Eisner, Ryan Cotterell |
| 2024 | ICML | How Flawed Is ECE? An Analysis via Logit Smoothing. | Muthu Chidambaram, Holden Lee, Colin McSwiggen, Semon Rezchikov |
| 2024 | ICML | Principled Gradient-Based MCMC for Conditional Sampling of Text. | Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Holden Lee, Jason Eisner, Ryan Cotterell |
| 2023 | ALT | Fisher information lower bounds for sampling. | Sinho Chewi, Patrik Gerber, Holden Lee, Chen Lu |
| 2023 | ALT | Convergence of score-based generative modeling for general data distributions. | Holden Lee, Jianfeng Lu, Yixin Tan |
| 2023 | ICLR | Pitfalls of Gaussians as a noise distribution in NCE. | Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski |
| 2023 | ICML | Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions. | Hongrui Chen, Holden Lee, Jianfeng Lu |
| 2022 | ALT | Improved rates for prediction and identification of partially observed linear dynamical systems. | Holden Lee |
| 2022 | COLT | Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods. | Frederic Koehler, Holden Lee, Andrej Risteski |
| 2022 | ICML | Extracting Latent State Representations with Linear Dynamics from Rich Observations. | Abraham Frandsen, Rong Ge, Holden Lee |
| 2021 | ALT | Efficient sampling from the Bingham distribution. | Rong Ge, Holden Lee, Jianfeng Lu, Andrej Risteski |
| 2020 | ALT | Robust guarantees for learning an autoregressive filter. | Holden Lee, Cyril Zhang |
| 2020 | COLT | No-Regret Prediction in Marginally Stable Systems. | Udaya Ghai, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang |
| 2020 | STOC | Estimating normalizing constants for log-concave distributions: algorithms and lower bounds. | Rong Ge, Holden Lee, Jianfeng Lu |
| 2018 | ICLR | Towards Provable Control for Unknown Linear Dynamical Systems. | Sanjeev Arora, Elad Hazan, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang |
| 2017 | COLT | On the Ability of Neural Nets to Express Distributions. | Holden Lee, Rong Ge, Tengyu Ma, Andrej Risteski, Sanjeev Arora |