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Probabilistic Modeling

2,599 papers

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Papers

VFlow: More Expressive Generative Flows with Variational Data Augmentation ICML 2020
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models ICML 2020
Healing Products of Gaussian Process Experts ICML 2020
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse ICML 2020
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting ICML 2020
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models ICML 2020
Randomly Projected Additive Gaussian Processes for Regression ICML 2020
NGBoost: Natural Gradient Boosting for Probabilistic Prediction ICML 2020
Sparse Gaussian Processes with Spherical Harmonic Features ICML 2020
Continuous Time Bayesian Networks with Clocks ICML 2020
The continuous categorical: a novel simplex-valued exponential family ICML 2020
Automatic Reparameterisation of Probabilistic Programs ICML 2020
Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase ICML 2020
Stochastic Differential Equations with Variational Wishart Diffusions ICML 2020
Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations ICML 2020
Private Outsourced Bayesian Optimization ICML 2020
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation ICML 2020
Temporal Logic Point Processes ICML 2020
Variable Skipping for Autoregressive Range Density Estimation ICML 2020
On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes ICML 2020
Neural Clustering Processes ICML 2020
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits ICML 2020
Double-Loop Unadjusted Langevin Algorithm ICML 2020
Inter-domain Deep Gaussian Processes ICML 2020
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models ICML 2020