conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

5,566 papers

Papers per year

11
100
176
522
279
'05
'10
'15
'20
'25

Papers

Robust Bayesian Classification Using An Optimistic Score Ratio ICML 2020
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation ICML 2020
Implicit Generative Modeling for Efficient Exploration ICML 2020
On Semi-parametric Inference for BART ICML 2020
Double-Loop Unadjusted Langevin Algorithm ICML 2020
Bayesian Optimisation over Multiple Continuous and Categorical Inputs ICML 2020
Inter-domain Deep Gaussian Processes ICML 2020
A Quantile-based Approach for Hyperparameter Transfer Learning ICML 2020
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise ICML 2020
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks ICML 2020
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization ICML 2020
Variational Imitation Learning with Diverse-quality Demonstrations ICML 2020
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances ICML 2020
Bayesian Differential Privacy for Machine Learning ICML 2020
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables ICML 2020
Sequential Cooperative Bayesian Inference ICML 2020
Thompson Sampling via Local Uncertainty ICML 2020
Amortised Learning by Wake-Sleep ICML 2020
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes ICML 2020
Amortized Population Gibbs Samplers with Neural Sufficient Statistics ICML 2020
Variational Label Enhancement ICML 2020
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization ICML 2020
Variance Reduction in Stochastic Particle-Optimization Sampling ICML 2020
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support ICML 2020
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference ICML 2020