Holden Lee - RankMe

67 papers A* 21A 2B 5Journal 36Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Efficiently learning and sampling multimodal distributions with data-based initialization. COLT Frederic Koehler, Holden Lee, Thuy-Duong Vuong
2025	A*	`conf`	Learning Mixtures of Gaussians Using Diffusion Models. COLT Khashayar Gatmiry, Jonathan A. Kelner, Holden Lee
2025	J	`jnl`	Mixing of general biased adjacent transposition chains. CoRR Reza Gheissari, Holden Lee, Eric Vigoda
2025	A	`conf`	Sampling List Packings. ITCS Evan Camrud, Ewan Davies, Alex Karduna, Holden Lee
2025	J	`jnl`	Sampling from multimodal distributions with warm starts: Non-asymptotic bounds for the Reweighted Annealed Leap-Point Sampler. CoRR Holden Lee, Matheau Santana-Gijzen
2024	J	`jnl`	Convergence Bounds for Sequential Monte Carlo on Multimodal Distributions using Soft Decomposition. CoRR Holden Lee, Matheau Santana-Gijzen
2024	J	`jnl`	Efficiently learning and sampling multimodal distributions with data-based initialization. CoRR Frederic Koehler, Holden Lee, Thuy-Duong Vuong
2024	A*	`conf`	How Flawed Is ECE? An Analysis via Logit Smoothing. ICML Muthu Chidambaram, Holden Lee, Colin McSwiggen, Semon Rezchikov
2024	J	`jnl`	How Flawed is ECE? An Analysis via Logit Smoothing. CoRR Muthu Chidambaram, Holden Lee, Colin McSwiggen, Semon Rezchikov
2024	J	`jnl`	Learning Mixtures of Gaussians Using Diffusion Models. CoRR Khashayar Gatmiry, Jonathan A. Kelner, Holden Lee
2024	A	`conf`	Parallelising Glauber Dynamics. APPROX/RANDOM Holden Lee
2024	A*	`conf`	Principled Gradient-Based MCMC for Conditional Sampling of Text. ICML Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Holden Lee, Jason Eisner, Ryan Cotterell
2024	J	`jnl`	Sampling List Packings. CoRR Evan Camrud, Ewan Davies, Alex Karduna, Holden Lee
2024	J	`jnl`	Sampling from the Continuous Random Energy Model in Total Variation Distance. CoRR Holden Lee, Qiang Wu
2024	A*	`conf`	What does guidance do? A fine-grained analysis in a simple setting. NeurIPS Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen, Holden Lee, Jianfeng Lu
2024	J	`jnl`	What does guidance do? A fine-grained analysis in a simple setting. CoRR Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen, Holden Lee, Jianfeng Lu
2024	—	`conf`	When is a Language Process a Language Model? ACL (Findings) Li Du, Holden Lee, Jason Eisner, Ryan Cotterell
2023	J	`jnl`	Approximation Algorithms for the Random Field Ising Model. SIAM J. Discret. Math. Tyler Helmuth, Holden Lee, Will Perkins, Mohan Ravichandran, Qiang Wu
2023	A*	`conf`	Connecting Pre-trained Language Model and Downstream Task via Properties of Representation. NeurIPS Chenwei Wu, Holden Lee, Rong Ge
2023	B	`conf`	Convergence of score-based generative modeling for general data distributions. ALT Holden Lee, Jianfeng Lu, Yixin Tan
2023	B	`conf`	Fisher information lower bounds for sampling. ALT Sinho Chewi, Patrik Gerber, Holden Lee, Chen Lu
2023	A*	`conf`	Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions. ICML Hongrui Chen, Holden Lee, Jianfeng Lu
2023	J	`jnl`	Improved Bound for Mixing Time of Parallel Tempering. CoRR Holden Lee, Zeyu Shen
2023	J	`jnl`	Parallelising Glauber dynamics. CoRR Holden Lee
2023	A*	`conf`	Pitfalls of Gaussians as a noise distribution in NCE. ICLR Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski
2023	J	`jnl`	Principled Gradient-based Markov Chain Monte Carlo for Text Generation. CoRR Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Jason Eisner, Holden Lee, Ryan Cotterell
2023	A*	`conf`	Provable benefits of score matching. NeurIPS Chirag Pabbaraju, Dhruv Rohatgi, Anish Prasad Sevekari, Holden Lee, Ankur Moitra, Andrej Risteski
2023	J	`jnl`	Provable benefits of score matching. CoRR Chirag Pabbaraju, Dhruv Rohatgi, Anish Prasad Sevekari, Holden Lee, Ankur Moitra, Andrej Risteski
2023	A*	`conf`	The probability flow ODE is provably fast. NeurIPS Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu, Adil Salim
2023	J	`jnl`	The probability flow ODE is provably fast. CoRR Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu, Adil Salim
2022	A*	`conf`	Convergence for score-based generative modeling with polynomial complexity. NeurIPS Holden Lee, Jianfeng Lu, Yixin Tan
2022	J	`jnl`	Convergence for score-based generative modeling with polynomial complexity. CoRR Holden Lee, Jianfeng Lu, Yixin Tan
2022	J	`jnl`	Convergence of score-based generative modeling for general data distributions. CoRR Holden Lee, Jianfeng Lu, Yixin Tan
2022	A*	`conf`	Extracting Latent State Representations with Linear Dynamics from Rich Observations. ICML Abraham Frandsen, Rong Ge, Holden Lee
2022	J	`jnl`	Fisher information lower bounds for sampling. CoRR Sinho Chewi, Patrik Gerber, Holden Lee, Chen Lu
2022	J	`jnl`	Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions. CoRR Hongrui Chen, Holden Lee, Jianfeng Lu
2022	B	`conf`	Improved rates for prediction and identification of partially observed linear dynamical systems. ALT Holden Lee
2022	J	`jnl`	Pitfalls of Gaussians as a noise distribution in NCE. CoRR Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski
2022	A*	`conf`	Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods. COLT Frederic Koehler, Holden Lee, Andrej Risteski
2022	J	`jnl`	Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods. CoRR Frederic Koehler, Holden Lee, Andrej Risteski
2021	J	`jnl`	Approximation algorithms for the random-field Ising model. CoRR Tyler Helmuth, Holden Lee, Will Perkins, Mohan Ravichandran, Qiang Wu
2021	B	`conf`	Efficient sampling from the Bingham distribution. ALT Rong Ge, Holden Lee, Jianfeng Lu, Andrej Risteski
2021	A*	`conf`	Universal Approximation Using Well-Conditioned Normalizing Flows. NeurIPS Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski
2021	J	`jnl`	Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows. CoRR Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski
2020	J	`jnl`	Efficient sampling from the Bingham distribution. CoRR Rong Ge, Holden Lee, Jianfeng Lu, Andrej Risteski
2020	A*	`conf`	Estimating normalizing constants for log-concave distributions: algorithms and lower bounds. STOC Rong Ge, Holden Lee, Jianfeng Lu
2020	J	`jnl`	Improved rates for identification of partially observed linear dynamical systems. CoRR Holden Lee
2020	A*	`conf`	No-Regret Prediction in Marginally Stable Systems. COLT Udaya Ghai, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang
2020	J	`jnl`	No-Regret Prediction in Marginally Stable Systems. CoRR Udaya Ghai, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang
2020	B	`conf`	Robust guarantees for learning an autoregressive filter. ALT Holden Lee, Cyril Zhang
2019	J	`jnl`	Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds. CoRR Rong Ge, Holden Lee, Jianfeng Lu
2019	A*	`conf`	Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets. NeurIPS Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Rong Ge, Sanjeev Arora
2019	J	`jnl`	Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets. CoRR Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Sanjeev Arora, Rong Ge
2019	—	`—`	MCMC algorithms for sampling from multimodal and changing distributions Holden Lee
2019	J	`jnl`	Online Sampling from Log-Concave Distributions. CoRR Holden Lee, Oren Mangoubi, Nisheeth K. Vishnoi
2019	A*	`conf`	Online sampling from log-concave distributions. NeurIPS Holden Lee, Oren Mangoubi, Nisheeth K. Vishnoi
2019	J	`jnl`	Robust guarantees for learning an autoregressive filter. CoRR Holden Lee, Cyril Zhang
2018	A*	`conf`	Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo. NeurIPS Holden Lee, Andrej Risteski, Rong Ge
2018	J	`jnl`	Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition. CoRR Rong Ge, Holden Lee, Andrej Risteski
2018	A*	`conf`	Spectral Filtering for General Linear Dynamical Systems. NeurIPS Elad Hazan, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang
2018	J	`jnl`	Spectral Filtering for General Linear Dynamical Systems. CoRR Elad Hazan, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang
2018	—	`conf`	Towards Provable Control for Unknown Linear Dynamical Systems. ICLR (Workshop) Sanjeev Arora, Elad Hazan, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang
2017	J	`jnl`	Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo. CoRR Rong Ge, Holden Lee, Andrej Risteski
2017	A*	`conf`	On the Ability of Neural Nets to Express Distributions. COLT Holden Lee, Rong Ge, Tengyu Ma, Andrej Risteski, Sanjeev Arora
2017	J	`jnl`	On the ability of neural nets to express distributions. CoRR Holden Lee, Rong Ge, Andrej Risteski, Tengyu Ma, Sanjeev Arora
2015	J	`jnl`	Quadratic polynomials of small modulus cannot represent OR. CoRR Holden Lee
2014	J	`jnl`	Vector Spaces. Arch. Formal Proofs Holden Lee