← Authors

Holden Lee

26 papers · 2017–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (8) πŸ—ΊοΈ Taxonomy Completionist (29) πŸ‘‘ Triple Crown πŸ† Keyword Champion (4) ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (96) πŸ“ˆ Trend Setter πŸ’Ž Century Club (26) ❓ The Questioner (3) πŸ”₯ Unstoppable (9)

Conferences

NIPS (10) ALT (5) COLT (5) ICML (4) ACL (1) ICLR (1)

Top co-authors

Andrej Risteski (7) Rong Ge (6) Jianfeng Lu (6) Cyril Zhang (3) Chirag Pabbaraju (3) Anish Prasad Sevekari (3) Yi Zhang (3) Ryan Cotterell (2) Sitan Chen (2) Li Du (2)

Keywords

linear dynamical system (4) score-based generative modeling (4) markov chain monte carlo (3) convergence guarantee (3) autoregressive filter (2) system identification (2) wasserstein distance (2) diffusion model (2) langevin monte carlo (2) markov chain (2) variational inference (2) bayesian inference (2) simulated tempering (2) score function (2) probability distribution (2) generative model (2) ising model (1) computational efficiency (1) transfer learning (1) theoretical analysis (1)

Papers

Efficiently learning and sampling multimodal distributions with data-based initialization COLT 2025
Learning Mixtures of Gaussians Using Diffusion Models COLT 2025
Principled Gradient-Based MCMC for Conditional Sampling of Text ICML 2024
How Flawed Is ECE? An Analysis via Logit Smoothing ICML 2024
What does guidance do? A fine-grained analysis in a simple setting NIPS 2024
When is a Language Process a Language Model? ACL 2024
The probability flow ODE is provably fast NIPS 2023
Connecting Pre-trained Language Model and Downstream Task via Properties of Representation NIPS 2023
Fisher information lower bounds for sampling ALT 2023
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions ICML 2023
Pitfalls of Gaussians as a noise distribution in NCE ICLR 2023
Convergence of score-based generative modeling for general data distributions ALT 2023
Provable benefits of score matching NIPS 2023
Improved rates for prediction and identification of partially observed linear dynamical systems ALT 2022
Convergence for score-based generative modeling with polynomial complexity NIPS 2022
Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods COLT 2022
Extracting Latent State Representations with Linear Dynamics from Rich Observations ICML 2022
Efficient sampling from the Bingham distribution ALT 2021
Universal Approximation Using Well-Conditioned Normalizing Flows NIPS 2021
No-Regret Prediction in Marginally Stable Systems COLT 2020
Robust guarantees for learning an autoregressive filter ALT 2020
Online sampling from log-concave distributions NIPS 2019
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets NIPS 2019
Spectral Filtering for General Linear Dynamical Systems NIPS 2018
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo NIPS 2018
On the Ability of Neural Nets to Express Distributions COLT 2017