Holden Lee
26 papers · 2017–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (8)
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Cross-Pollinator
(8)
πΊοΈ
Taxonomy Completionist
(29)
π
Triple Crown
π
Keyword Champion
(4)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(96)
π
Trend Setter
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Century Club
(26)
β
The Questioner
(3)
π₯
Unstoppable
(9)
Conferences
NIPS (10)
ALT (5)
COLT (5)
ICML (4)
ACL (1)
ICLR (1)
Top co-authors
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