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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes ICML 2021
Optimized auxiliary particle filters: adapting mixture proposals via convex optimization UAI 2021
Context-Aware Online Collective Inference for Templated Graphical Models ICML 2021
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability ICML 2021
Contrastive Neural Processes for Self-Supervised Learning ACML 2021
Structured World Belief for Reinforcement Learning in POMDP ICML 2021
Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types ACML 2021
Structure-Aware Random Fourier Kernel for Graphs NIPS 2021
Retrofitting High Availability Mechanism to Tame Hybrid Transaction/Analytical Processing OSDI 2021
Scalable gradient matching based on state space Gaussian Processes ACML 2021
DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks ACML 2021
Similarity measure for sparse time course data based on Gaussian processes UAI 2021
Nearest neighbor search under uncertainty UAI 2021
Random probabilistic circuits UAI 2021
De-randomizing MCMC dynamics with the diffusion Stein operator NIPS 2021
Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model AAAI 2021
DeepGEM: Generalized Expectation-Maximization for Blind Inversion NIPS 2021
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference NIPS 2021
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging AAAI 2021
Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic AAAI 2021
VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization AAAI 2021
Dual Parameterization of Sparse Variational Gaussian Processes NIPS 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions NIPS 2021
Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit NIPS 2021
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation ICML 2021