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Bayesian Inference

4,821 papers

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Papers

Scalable Training of Inference Networks for Gaussian-Process Models ICML 2019
Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning ICML 2019
Distribution calibration for regression ICML 2019
Accelerated Flow for Probability Distributions ICML 2019
The Variational Predictive Natural Gradient ICML 2019
Variational Annealing of GANs: A Langevin Perspective ICML 2019
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations ICML 2019
Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models ICML 2019
Moment-Based Variational Inference for Markov Jump Processes ICML 2019
Calibrated Approximate Bayesian Inference ICML 2019
Variational Russian Roulette for Deep Bayesian Nonparametrics ICML 2019
Bayesian Nonparametric Federated Learning of Neural Networks ICML 2019
Automated Negotiation with Gaussian Process-based Utility Models IJCAI 2019
A Regularized Opponent Model with Maximum Entropy Objective IJCAI 2019
Towards Efficient Detection and Optimal Response against Sophisticated Opponents IJCAI 2019
GANAK: A Scalable Probabilistic Exact Model Counter IJCAI 2019
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets IJCAI 2019
Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear Regression IJCAI 2019
Marginal Posterior Sampling for Slate Bandits IJCAI 2019
Fully Distributed Bayesian Optimization with Stochastic Policies IJCAI 2019
Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes IJCAI 2019
Assumed Density Filtering Q-learning IJCAI 2019
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks IJCAI 2019
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting IJCAI 2019
Scalable Bayesian Non-linear Matrix Completion IJCAI 2019