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Philipp Hennig

73 papers · 2010–2026 · 7 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 15 separate collaboration groups - the largest holds only 47% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Philipp Hennig?

6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Agustinus Kristiadi, Marvin Pförtner, Jonathan Wenger 34 papers · 2014–2026 · NeurIPS, AISTATS, ICML Hide ▲
Hierarchical Bayesian Quadrature UAI 2026 Accelerating neural network training: An analysis of the AlgoPerf competition ICLR 2025 Computation-Aware Kalman Filtering and Smoothing AISTATS 2025 Debiasing Mini-Batch Quadratics for Applications in Deep Learning ICLR 2025 Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields AISTATS 2025 Linearization Turns Neural Operators into Function-Valued Gaussian Processes ICML 2025 A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024 Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NeurIPS 2024 FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NeurIPS 2024 Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI ICML 2024 Reparameterization invariance in approximate Bayesian inference NeurIPS 2024 Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures NeurIPS 2023 The Geometry of Neural Nets' Parameter Spaces Under Reparametrization NeurIPS 2023 Being a Bit Frequentist Improves Bayesian Neural Networks AISTATS 2022 Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference AISTATS 2022 Fast predictive uncertainty for classification with Bayesian deep networks UAI 2022 Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks NeurIPS 2022 Posterior and Computational Uncertainty in Gaussian Processes NeurIPS 2022 Preconditioning for Scalable Gaussian Process Hyperparameter Optimization ICML 2022 An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence NeurIPS 2021 Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks NeurIPS 2021 Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers ICML 2021 Laplace Redux - Effortless Bayesian Deep Learning NeurIPS 2021 Learnable uncertainty under Laplace approximations UAI 2021 Probabilistic DAG search UAI 2021 BackPACK: Packing more into Backprop ICLR 2020 Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks ICML 2020 Modular Block-diagonal Curvature Approximations for Feedforward Architectures AISTATS 2020 Probabilistic Linear Solvers for Machine Learning NeurIPS 2020 DeepOBS: A Deep Learning Optimizer Benchmark Suite ICLR 2019 Limitations of the empirical Fisher approximation for natural gradient descent NeurIPS 2019 Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients ICML 2018 Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014 Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NeurIPS 2014
9 papers whose co-authors appear nowhere else under this name
Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization AISTATS 2019 Convergence Guarantees for Adaptive Bayesian Quadrature Methods NeurIPS 2019 Batch Bayesian Optimization via Local Penalization AISTATS 2016 Dual Control for Approximate Bayesian Reinforcement Learning JMLR 2016 Incremental Local Gaussian Regression NeurIPS 2014 Fast Probabilistic Optimization from Noisy Gradients ICML 2013 Quasi-Newton Method: A New Direction JMLR 2013 Entropy Search for Information-Efficient Global Optimization JMLR 2012 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011

Venues · all papers under this name

NeurIPS (23) AISTATS (19) ICML (13) JMLR (7) ICLR (5) UAI (5) L4DC (1)