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| Structured Stochastic Gradient MCMC | Jul 19, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Mismatched Estimation of rank-one symmetric matrices under Gaussian noise | Jul 19, 2021 | Bayesian Inference | CodeCode Available | 0 |
| Compressed Monte Carlo with application in particle filtering | Jul 18, 2021 | Bayesian Inference | —Unverified | 0 |
| Compressed particle methods for expensive models with application in Astronomy and Remote Sensing | Jul 18, 2021 | AstronomyBayesian Inference | —Unverified | 0 |
| Hybrid Bayesian Neural Networks with Functional Probabilistic Layers | Jul 14, 2021 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks | Jul 12, 2021 | AllBayesian Inference | CodeCode Available | 1 |
| Bayesian brains and the Rényi divergence | Jul 12, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Differentially private training of neural networks with Langevin dynamics for calibrated predictive uncertainty | Jul 9, 2021 | Bayesian InferenceMedical Diagnosis | —Unverified | 0 |
| Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential Equations | Jul 8, 2021 | Bayesian InferenceModel Selection | CodeCode Available | 0 |
| Analytically Tractable Hidden-States Inference in Bayesian Neural Networks | Jul 8, 2021 | Adversarial AttackBayesian Inference | —Unverified | 0 |
| Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework | Jul 7, 2021 | Bayesian Inference | CodeCode Available | 1 |
| Biases and Variability from Costly Bayesian Inference | Jul 7, 2021 | Bayesian Inference | —Unverified | 0 |
| InfoNCE is variational inference in a recognition parameterised model | Jul 6, 2021 | Bayesian InferenceSelf-Supervised Learning | —Unverified | 0 |
| Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors | Jul 6, 2021 | Bayesian InferenceGenerative Adversarial Network | —Unverified | 0 |
| Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence | Jul 6, 2021 | Autonomous DrivingBayesian Inference | —Unverified | 0 |
| T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs | Jul 6, 2021 | Anomaly DetectionBayesian Inference | CodeCode Available | 0 |
| q-Paths: Generalizing the Geometric Annealing Path using Power Means | Jul 1, 2021 | Bayesian Inference | CodeCode Available | 0 |
| Applications of the Free Energy Principle to Machine Learning and Neuroscience | Jun 30, 2021 | Bayesian InferenceBIG-bench Machine Learning | —Unverified | 0 |
| Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence | Jun 30, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data | Jun 28, 2021 | Bayesian Inference | —Unverified | 0 |
| Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model | Jun 25, 2021 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Bayesian Eye Tracking | Jun 25, 2021 | Bayesian InferenceGaze Estimation | —Unverified | 0 |
| Bayesian Neural Networks: Essentials | Jun 22, 2021 | Bayesian InferenceProbabilistic Deep Learning | —Unverified | 0 |
| Dangers of Bayesian Model Averaging under Covariate Shift | Jun 22, 2021 | Bayesian Inferencemodel | CodeCode Available | 1 |
| Repulsive Deep Ensembles are Bayesian | Jun 22, 2021 | Bayesian InferenceDiversity | CodeCode Available | 1 |
| Local convexity of the TAP free energy and AMP convergence for Z2-synchronization | Jun 21, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Variational multiple shooting for Bayesian ODEs with Gaussian processes | Jun 21, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data | Jun 20, 2021 | Bayesian Inference | CodeCode Available | 0 |
| Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces | Jun 19, 2021 | Bayesian InferenceOut-of-Distribution Detection | CodeCode Available | 1 |
| Being a Bit Frequentist Improves Bayesian Neural Networks | Jun 18, 2021 | Bayesian InferenceOut of Distribution (OOD) Detection | CodeCode Available | 0 |
| Goal-Directed Planning by Reinforcement Learning and Active Inference | Jun 18, 2021 | Bayesian InferenceDecision Making | —Unverified | 0 |
| Quasi-Bayesian Dual Instrumental Variable Regression | Jun 16, 2021 | Bayesian Inferenceregression | CodeCode Available | 0 |
| Variational Causal Networks: Approximate Bayesian Inference over Causal Structures | Jun 14, 2021 | Bayesian InferenceCausal Inference | CodeCode Available | 1 |
| Deep Bayesian Unsupervised Lifelong Learning | Jun 13, 2021 | Bayesian InferenceLifelong learning | CodeCode Available | 1 |
| Analog Seizure Detection for Implanted Responsive Neurostimulation | Jun 11, 2021 | Bayesian InferenceSeizure Detection | —Unverified | 0 |
| DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs | Jun 11, 2021 | Bayesian Inference | —Unverified | 0 |
| Quantum Speedup of Natural Gradient for Variational Bayes | Jun 10, 2021 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| An Interpretable Neural Network for Parameter Inference | Jun 10, 2021 | Bayesian Inference | —Unverified | 0 |
| Data augmentation in Bayesian neural networks and the cold posterior effect | Jun 10, 2021 | Bayesian InferenceData Augmentation | —Unverified | 0 |
| Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features | Jun 10, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting | Jun 10, 2021 | Bayesian InferenceSpatio-Temporal Forecasting | CodeCode Available | 1 |
| Bayesian Boosting for Linear Mixed Models | Jun 9, 2021 | Bayesian InferenceModel Selection | —Unverified | 0 |
| Nonlinear Hawkes Processes in Time-Varying System | Jun 9, 2021 | Bayesian InferencePoint Processes | —Unverified | 0 |
| Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reduction | Jun 8, 2021 | Bayesian InferenceDimensionality Reduction | CodeCode Available | 1 |
| Bridging physiological and perceptual views of autism by means of sampling-based Bayesian inference | Jun 8, 2021 | Bayesian InferenceDescriptive | —Unverified | 0 |
| Antipodes of Label Differential Privacy: PATE and ALIBI | Jun 7, 2021 | Bayesian InferenceMemorization | CodeCode Available | 1 |
| Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks | Jun 6, 2021 | Bayesian InferenceContinual Learning | —Unverified | 0 |
| Context-tree weighting for real-valued time series: Bayesian inference with hierarchical mixture models | Jun 6, 2021 | Bayesian InferenceModel Selection | —Unverified | 0 |
| Canonical Cortical Circuits and the Duality of Bayesian Inference and Optimal Control | Jun 5, 2021 | Bayesian InferenceDecision Making | —Unverified | 0 |