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Bayesian Inference

4,821 papers

Papers per year

Papers

Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning AAAI 2020
Probabilistic Inference for Predicate Constraint Satisfaction AAAI 2020
VCG under Sybil (False-Name) Attacks - A Bayesian Analysis AAAI 2020
Information Elicitation Mechanisms for Statistical Estimation AAAI 2020
GaSPing for Utility AAAI 2020
Variational Pathway Reasoning for EEG Emotion Recognition AAAI 2020
Model-Based Diagnosis with Uncertain Observations AAAI 2020
Event-Driven Continuous Time Bayesian Networks AAAI 2020
Capsule Routing via Variational Bayes AAAI 2020
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning AAAI 2020
Privacy-Preserving Gaussian Process Regression – A Modular Approach to the Application of Homomorphic Encryption AAAI 2020
Meta-Learning PAC-Bayes Priors in Model Averaging AAAI 2020
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information AAAI 2020
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles AAAI 2020
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020
Correcting Predictions for Approximate Bayesian Inference AAAI 2020
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation AAAI 2020
Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks AAAI 2020
Efficient Automatic CASH via Rising Bandits AAAI 2020
Diversified Interactive Recommendation with Implicit Feedback AAAI 2020
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs AAAI 2020
Radial and Directional Posteriors for Bayesian Deep Learning AAAI 2020
A Bayesian Approach for Estimating Causal Effects from Observational Data AAAI 2020
Diversified Bayesian Nonnegative Matrix Factorization AAAI 2020
Uncertainty-Aware Deep Classifiers Using Generative Models AAAI 2020