Skip to content
conftrace_

Haomin Zhou

4 papers · 2017–2023 · 3 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

Jump to papers ↓
+1 more ↓ 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird
πŸ† Keyword Champion

Venues

AISTATS (2) ICML (1) JMLR (1)

Top co-authors

Hongyuan Zha (3) Xiaojing Ye (2) Le Song (1) Hanjun Dai (1) Yichen Wang (1) Dale Schuurmans (1) Shaojun Ma (1) Shu Liu (1) Haoran Sun (1) Ruilin Li (1)

Research topics

Machine Learning (4) Optimization & Theory (4) Mathematics & Optimization (3) Optimization (3) Probability (2) Deep Learning (1) Core Methods (1) Learning Types Β· Machine Learning (1) Learning Types Β· Deep Learning (1)

Keywords

wasserstein distance (1) temporal modeling (1) non-convex optimization (1) probabilistic inference (1) markov chain monte carlo (1) point process (1) mcmc sampling (1) alternating optimization (1) nonlinear dynamics (1) discrete sampling (1) discrete distribution (1) partial differential equation (1) stochastic differential equation (1) generative adversarial network (1) fokker-planck equation (1) langevin monte carlo (1) inverse optimal transport (1) wasserstein gradient flow (1) stochastic dynamics (1) matching problem (1)

Papers

Discrete Langevin Samplers via Wasserstein Gradient Flow AISTATS 2023 Learning Stochastic Behaviour from Aggregate Data ICML 2021 Learning to Match via Inverse Optimal Transport JMLR 2019 Linking Micro Event History to Macro Prediction in Point Process Models AISTATS 2017