Bayesian & Probabilistic
4,733 papers (2 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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Papers (including subtopics)
Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data
AAAI 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
NeurIPS 2021
Turbocharging Treewidth-Bounded Bayesian Network Structure Learning
AAAI 2021
Uncertain-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric
L4DC 2021
Uncertainty-Aware Multi-View Representation Learning
AAAI 2021
UNIPoint: Universally Approximating Point Processes Intensities
AAAI 2021
Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding
IJCAI 2021
User-Level Differentially Private Learning via Correlated Sampling
NeurIPS 2021
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning
CVPR 2021
Value-at-Risk Optimization with Gaussian Processes
ICML 2021
variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference
UAI 2021
Variational Continual Bayesian Meta-Learning
NeurIPS 2021
Variational Intrinsic Control Revisited
ICLR 2021
Variational Model-based Policy Optimization
IJCAI 2021
Variational Pedestrian Detection
CVPR 2021
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
AISTATS 2021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
NeurIPS 2021
Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations
JMLR 2021
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data
ICML 2021
Weighted model counting with conditional weights for Bayesian networks
UAI 2021
What Are Bayesian Neural Network Posteriors Really Like?
ICML 2021
What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability
EMNLP 2021
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
NeurIPS 2021
Whittle Networks: A Deep Likelihood Model for Time Series
ICML 2021
A Batch Normalized Inference Network Keeps the KL Vanishing Away
ACL 2020