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2002.03712
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On Contrastive Learning for Likelihood-free Inference
International Conference on Machine Learning (ICML), 2020
10 February 2020
Conor Durkan
Iain Murray
George Papamakarios
BDL
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Papers citing
"On Contrastive Learning for Likelihood-free Inference"
50 / 84 papers shown
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505
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Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology
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Compositional simulation-based inference for time series
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369
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307
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Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs
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Pseudo-Likelihood Inference
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311
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523
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Binary classification based Monte Carlo simulation
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262
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Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference
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251
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Maximilian Dax
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Daolang Huang
Ayush Bharti
Amauri Souza
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Samuel Kaski
571
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S. Ghosh
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394
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305
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Paul-Christian Bürkner
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Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
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A. Coogan
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375
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297
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Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
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David T. Frazier
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Christopher C. Drovandi
331
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334
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302
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283
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