Pavel Sountsov
9 papers · 2016–2024 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (14) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
π
Keyword Champion
(5)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(8)
Mathematics & Optimization
(4)
Artificial Intelligence
(3)
Optimization
(3)
Probability
(3)
Computer Vision
(2)
Deep Learning
(2)
Analysis
(2)
Bayesian & Probabilistic
(2)
Mathematics
(2)
Models
(2)
Natural Language Processing
(1)
Learning Paradigms
(1)
Processing
(1)
Keywords
markov chain monte carlo
(6)
hamiltonian monte carlo
(5)
gradient evaluation
(2)
neural radiance field
(2)
effective sample size
(2)
bayesian inference
(2)
posterior inference
(2)
stochastic process
(1)
gradient-based sampling
(1)
latent variable model
(1)
diffusion model
(1)
ensemble method
(1)
variational autoencoder
(1)
energy-based model
(1)
control variate
(1)
supervised fine-tuning
(1)
flow-based model
(1)
adaptive mcmc
(1)
trajectory length
(1)
posterior expectation
(1)
Papers
Robust Inverse Graphics via Probabilistic Inference
ICML 2024
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories
AISTATS 2023
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images
AISTATS 2023
Training Chain-of-Thought via Latent-Variable Inference
NeurIPS 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