2020-12
2020-10
Gaussian Process Bandit Optimization of theThermodynamic Variational Objective
2020-07
All in the (Exponential) Family: Information Geometry and Thermodynamic Variational Inference
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference.
2020-06
Semi-supervised Sequential Generative Models.
Improving Few-Shot Visual Classification with Unlabelled Examples.
Improved Few-Shot Visual Classification
2020-03
Planning as Inference in Epidemiological Models.
Coping With Simulators That Don't Always Return
2020-01
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference.
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective
Semi-supervised Sequential Generative Models.
Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators
Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models.
Coping With Simulators That Don't Always Return.
2019-12
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
The Thermodynamic Variational Objective
2019-11
Etalumis: bringing probabilistic programming to scientific simulators at scale
Etalumis: bringing probabilistic programming to scientific simulators at scale
Etalumis: bringing probabilistic programming to scientific simulators at scale
2019-10
Attention for Inference Compilation.
Deep Probabilistic Surrogate Networks for Universal Simulator Approximation.
Amortized Rejection Sampling in Universal Probabilistic Programming.
Efficient Bayesian Inference for Nested Simulators
Efficient Inference Amortization in Graphical Models using Structured Continuous Conditional Normalizing Flows
2019-09
Safer End-to-End Autonomous Driving via Conditional Imitation Learning and Command Augmentation
The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging.
2019-06
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training.
Amortized Monte Carlo Integration
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:1907.08082 (2019-07-18)]2019-04
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models
AISTATS 2019
(2019-04-11)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:1903.02482 (2019-03-06)]2019-03
2019-01
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow.
2018-12
Faithful Inversion of Generative Models for Effective Amortized Inference
Bayesian Distributed Stochastic Gradient Descent
2018-11
An Introduction to Probabilistic Programming.
2018-09
Revisiting Reweighted Wake-Sleep
2018-07
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
On Nesting Monte Carlo Estimators
Deep Variational Reinforcement Learning for POMDPs
Tighter Variational Bounds are Not Necessarily Better
2018-06
Inference Trees: Adaptive Inference with Exploration
2018-04
Discontinuous Hamiltonian Monte Carlo for Probabilistic Programs.
Hamiltonian Monte Carlo for Probabilistic Programs with Discontinuities
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