Jean-Baptiste Tristan
8 papers · 2014–2021 · 4 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 (25) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
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Conference Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Core Methods
(3)
Application Areas
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Models
(2)
Natural Language Processing
(1)
Architectures
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types Β· Machine Learning
(1)
Learning Types Β· Deep Learning
(1)
Keywords
gpu computing
(2)
variational autoencoder
(2)
bayesian inference
(2)
latent dirichlet allocation
(2)
mutual information
(1)
kl divergence
(1)
probabilistic modeling
(1)
semantic role labeling
(1)
structured prediction
(1)
markov chain monte carlo
(1)
out-of-domain detection
(1)
gibbs sampling
(1)
maximum a posteriori
(1)
exponential family
(1)
probabilistic programming
(1)
parallel inference
(1)
rate distortion
(1)
conditional independence
(1)
posterior regularization
(1)
syntactic parsing
(1)
Papers
Conjugate Energy-Based Models
ICML 2021
Rate-Regularization and Generalization in Variational Autoencoders
AISTATS 2021
Gradient-Based Inference for Networks with Output Constraints
AAAI 2019
Sketching for Latent Dirichlet-Categorical Models
AISTATS 2019
Unlocking Fairness: a Trade-off Revisited
NeurIPS 2019
Exponential Stochastic Cellular Automata for Massively Parallel Inference
AISTATS 2016
Efficient Training of LDA on a GPU by Mean-for-Mode Estimation
ICML 2015
Augur: Data-Parallel Probabilistic Modeling
NeurIPS 2014