Showing 1–20 of 125 results
/ Date/ Name
May 29, 2019Limitations of the Empirical Fisher Approximation for Natural Gradient DescentJul 24, 2019Classified Regression for Bayesian Optimization: Robot Learning with Unknown PenaltiesFeb 21, 2020Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical SystemsOct 16, 2020Robot Learning with Crash ConstraintsFeb 12, 2021Cockpit: A Practical Debugging Tool for the Training of Deep Neural NetworksMay 7, 2021Laplace Matching for fast Approximate Inference in Latent Gaussian ModelsMay 20, 2022Posterior Refinement Improves Sample Efficiency in Bayesian Neural NetworksMar 13, 2019DeepOBS: A Deep Learning Optimizer Benchmark SuiteJun 27, 2019Uncertainty Estimates for Ordinal EmbeddingsOct 18, 2024Debiasing Mini-Batch Quadratics for Applications in Deep LearningMar 28, 2017Early Stopping without a Validation SetDec 15, 2016Coupling Adaptive Batch Sizes with Learning RatesJun 12, 2023Benchmarking Neural Network Training AlgorithmsMay 22, 2023Bayesian Numerical Integration with Neural NetworksOct 21, 2011Kernel Topic ModelsDec 6, 2011Entropy Search for Information-Efficient Global OptimizationJun 4, 2011Optimal Reinforcement Learning for Gaussian SystemsNov 1, 2023Kronecker-Factored Approximate Curvature for Modern Neural Network ArchitecturesOct 8, 2018Probabilistic Linear Solvers: A Unifying ViewFeb 24, 2020Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks