Pavel Sountsov
9 papers · 2016–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Conference Polyglot (5)
π
Academic Marathon
(8)
π£
Hot Topic Early Bird
π
Cross-Pollinator
(12)
π
Keyword Champion
(2)
π₯
Unstoppable
(5)
Conferences
AISTATS (5)
EMNLP (1)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Research topics
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