Vikash Mansinghka
14 papers · 2014–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🌈 Renaissance Researcher (6) 🏃 Academic Marathon (11) 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (15) 🌉 Interdisciplinary Bridge
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Keyword Pioneer
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Cross-Pollinator
(15)
🌈
Renaissance Researcher
(6)
🔥
Unstoppable
(6)
💎
Century Club
(14)
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Keyword Collector
(56)
Conferences
AISTATS (7)
ICML (3)
CVPR (1)
ICLR (1)
JMLR (1)
RSS (1)
Top co-authors
Keywords
probabilistic programming
(4)
markov chain monte carlo
(4)
bayesian nonparametrics
(3)
sequential monte carlo
(3)
gaussian process
(2)
gibbs sampling
(2)
monte carlo inference
(2)
bayesian inference
(2)
mutual information
(1)
time series
(1)
scene understanding
(1)
importance sampling
(1)
time series modeling
(1)
variational inference
(1)
time series forecasting
(1)
risk-aware planning
(1)
random sampling
(1)
effective sample size
(1)
structure learning
(1)
nonparametric bayesian
(1)
Papers
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
ICLR 2025
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness
RSS 2024
Sequential Monte Carlo Learning for Time Series Structure Discovery
ICML 2023
Estimators of Entropy and Information via Inference in Probabilistic Models
AISTATS 2022
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming
AISTATS 2021
Causal Inference using Gaussian Processes with Structured Latent Confounders
ICML 2020
The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions
AISTATS 2020
Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series
AISTATS 2018
Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes
AISTATS 2017
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data
JMLR 2016
Picture: A Probabilistic Programming Language for Scene Perception
CVPR 2015
Particle Gibbs with Ancestor Sampling for Probabilistic Programs
AISTATS 2015
JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes
ICML 2015
A New Approach to Probabilistic Programming Inference
AISTATS 2014