conftrace_

probabilistic programming

87 papers

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Also known as

PPS PP

Co-occurring keywords

bayesian inference (1907) markov chain monte carlo (725) variational inference (2069) generative model (2892) graphical model (864) sequential monte carlo (90) hamiltonian monte carlo (92) amortized inference (102) inference compilation (5) posterior inference (138)

Papers

Automatic variational inference with cascading flows ICML 2021
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference ICML 2021
Nonparametric Hamiltonian Monte Carlo ICML 2021
A Language for Counterfactual Generative Models ICML 2021
Probabilistic Programs with Stochastic Conditioning ICML 2021
Mapping probability word problems to executable representations EMNLP 2021
The Base Measure Problem and its Solution AISTATS 2021
Adapting Coreference Resolution for Processing Violent Death Narratives NAACL 2021
Probabilistic Programming Bots in Intuitive Physics Game Play AAAI 2021
Accelerating Metropolis-Hastings with Lightweight Inference Compilation AISTATS 2021
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming AISTATS 2021
Automatic structured variational inference AISTATS 2021
Complex Coordinate-Based Meta-Analysis with Probabilistic Programming AAAI 2021
Efficient Querying for Cooperative Probabilistic Commitments AAAI 2021
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model ICML 2021
Recalibrating classifiers for interpretable abusive content detection EMNLP 2020
Automatic Reparameterisation of Probabilistic Programs ICML 2020
Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models AISTATS 2020
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support ICML 2020
Robust, Accurate Stochastic Optimization for Variational Inference NIPS 2020
A Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors CVPR 2020
Correcting Predictions for Approximate Bayesian Inference AAAI 2020
Pyro: Deep Universal Probabilistic Programming JMLR 2019
Ranked Programming IJCAI 2019
Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling UAI 2019