| On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks | Dec 7, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| On the Identification of Temporally Causal Representation with Instantaneous Dependence | May 24, 2024 | Motion ForecastingRepresentation Learning | —Unverified | 0 | 0 |
| On the Inconsistency of Bayesian Inference for Misspecified Neural Networks | Nov 23, 2020 | Bayesian Inferenceregression | —Unverified | 0 | 0 |
| On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views | Jan 31, 2020 | Representation LearningVariational Inference | —Unverified | 0 | 0 |
| On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder | May 31, 2019 | Variational Inference | —Unverified | 0 | 0 |
| On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning | Nov 21, 2023 | Conformal PredictionDeep Learning | —Unverified | 0 | 0 |
| On the Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks | Sep 25, 2019 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| On the Performance of Direct Loss Minimization for Bayesian Neural Networks | Nov 15, 2022 | Variational Inference | —Unverified | 0 | 0 |
| On the Relationship Between Active Inference and Control as Inference | Jun 23, 2020 | Decision Makingreinforcement-learning | —Unverified | 0 | 0 |
| On importance-weighted autoencoders | Jul 24, 2019 | Variational Inference | —Unverified | 0 | 0 |
| On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example | Nov 29, 2017 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering | Dec 2, 2020 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Operator Variational Inference | Oct 27, 2016 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Probabilistic Control and Majorization of Optimal Control | May 6, 2022 | Decision MakingVariational Inference | —Unverified | 0 | 0 |
| Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process | May 7, 2019 | Decision MakingManagement | —Unverified | 0 | 0 |
| Optimality of variational inference for stochasticblock model with missing links | Dec 1, 2021 | parameter estimationStochastic Block Model | —Unverified | 0 | 0 |
| Optimal Lighting Control in Greenhouses Using Bayesian Neural Networks for Sunlight Prediction | May 7, 2022 | PredictionVariational Inference | —Unverified | 0 | 0 |
| Optimal lower bounds for logistic log-likelihoods | Oct 14, 2024 | Bayesian Inferenceregression | —Unverified | 0 | 0 |
| Optimal Transport for Distribution Adaptation in Bayesian Hilbert Maps | Oct 16, 2019 | Variational Inference | —Unverified | 0 | 0 |
| Outcome-Driven Reinforcement Learning via Variational Inference | Apr 20, 2021 | reinforcement-learningReinforcement Learning | —Unverified | 0 | 0 |
| Overdispersed Black-Box Variational Inference | Mar 3, 2016 | Variational Inference | —Unverified | 0 | 0 |
| Overpruning in Variational Bayesian Neural Networks | Jan 18, 2018 | Variational Inference | —Unverified | 0 | 0 |
| PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons | Jun 16, 2020 | Generalization BoundsVariational Inference | —Unverified | 0 | 0 |
| Parameters Estimation from the 21 cm signal using Variational Inference | May 4, 2020 | Variational Inference | —Unverified | 0 | 0 |
| Parametric Bootstrap Ensembles as Variational Inference | Nov 23, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |