← Authors

Pavel Sountsov

9 papers · 2016–2024 · 5 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (8) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (5)

Conferences

AISTATS (5) EMNLP (1) ICLR (1) ICML (1) NIPS (1)

Top co-authors

Rif A. Saurous (3) Tuan Anh Le (3) Matthew Hoffman (2) Matthew D. Hoffman (2) Ben Lee (2) Matthew Douglas Hoffman (2) Dan Piponi (1) Srinivas Vasudevan (1) Sharad Vikram (1) Vikash K. Mansinghka (1)

Research topics

Optimization (1)

Keywords

hamiltonian monte carlo (5) markov chain monte carlo (5) bayesian inference (2) gradient evaluation (2) effective sample size (2) posterior inference (1) variance reduction (1) stochastic process (1) gradient-based sampling (1) ensemble method (1) variational autoencoder (1) control variate (1) neural radiance field (1) supervised fine-tuning (1) adaptive mcmc (1) trajectory length (1) posterior expectation (1) langevin diffusion (1) antithetic sampling (1) 3d shape inference (1)

Papers

Robust Inverse Graphics via Probabilistic Inference ICML 2024
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories AISTATS 2023
Training Chain-of-Thought via Latent-Variable Inference NIPS 2023
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images AISTATS 2023
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC ICLR 2022
Tuning-Free Generalized Hamiltonian Monte Carlo AISTATS 2022
An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo AISTATS 2021
Hamiltonian Monte Carlo Swindles AISTATS 2020
Length bias in Encoder Decoder Models and a Case for Global Conditioning EMNLP 2016