Hanlin Yu

6 papers · 2024–2025 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14)

Venues

AISTATS (1) ICLR (1) ICML (1) NeurIPS (1) PGM (1) UAI (1)

Top co-authors

Arto Klami (6) Marcelo Hartmann (4) Bernardo Williams (4) Hoang Phuc Hau Luu (3) Mark Girolami (1) Georgios Arvanitidis (1) Aapo Hyvärinen (1) Petrus Mikkola (1) Omar Chehab (1) Bernardo Williams Moreno Sanchez (1)

Research topics

Machine Learning (5) Optimization & Theory (4) Bayesian & Probabilistic · Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Mathematics & Optimization (2) Bayesian & Probabilistic · Artificial Intelligence (2) Mathematics (2) Models (2) Application Areas (1) Optimization (1)

Keywords

variational inference (2) markov chain monte carlo (2) sampling algorithm (2) non-convex optimization (1) bayesian inference (1) optimal transport (1) bayesian sampling (1) laplace approximation (1) density ratio estimation (1) monte carlo sampling (1) slice sampling (1) riemannian geometry (1) riemannian metric (1) posterior approximation (1) hamiltonian monte carlo (1) probability measure (1) riemannian manifold (1) multimodal distribution (1) gaussian distribution (1) wasserstein space (1)

Papers

Density Ratio Estimation with Conditional Probability Paths ICML 2025 Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature UAI 2025 Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold ICLR 2025 Geometric No-U-Turn Samplers: Concepts and Evaluation PGM 2024 Non-geodesically-convex optimization in the Wasserstein space NeurIPS 2024 Riemannian Laplace Approximation with the Fisher Metric AISTATS 2024