Jeremy Heng

4 papers · 2019–2024 · 4 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 · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer

Venues

AISTATS (1) ICML (1) JMLR (1) NeurIPS (1)

Top co-authors

Pierre E. Jacob (1) Alexander Lin (1) Andras Fulop (1) Ajay Jasra (1) Yingzhuo Zhang (1) Arnaud Doucet (1) Valentin De Bortoli (1) Alexandre H. Thiery (1) Stephen A. Allsop (1) Jeremie Houssineau (1)

Research topics

Machine Learning (4) Optimization & Theory (4) Deep Learning (2) Artificial Intelligence (1) Data Science & Analytics (1) Mathematics & Optimization (1) Bayesian & Probabilistic (1) Core Methods (1) Learning Types (1) Mathematics (1) Methods (1) Models (1) Techniques (1)

Keywords

particle filter (3) diffusion process (2) bayesian nonparametrics (1) optimal transport (1) expectation maximization (1) markov chain monte carlo (1) maximum likelihood (1) time series (1) mcmc sampling (1) state space model (1) diffusion model (1) unbiased estimation (1) schrödinger bridge (1) score-based generation (1) neural network approximation (1) multilevel randomization (1) doob h-transform (1) backward kolmogorov equation (1) feynman-kac formula (1) stochastic gradient (1)

Papers

On Unbiased Estimation for Partially Observed Diffusions JMLR 2024 Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions ICML 2023 Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling NeurIPS 2021 Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach AISTATS 2019