Hongjian Wang

5 papers · 2021–2026 · 5 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17)

Venues

AISTATS (1) COLT (1) CVPR (1) JMLR (1) NeurIPS (1)

Top co-authors

Aaditya Ramdas (3) Shubhada Agrawal (1) Zipeng Wang (1) Lingjiong Zhu (1) Minjie Liu (1) Umut Simsekli (1) Mert Gurbuzbalaban (1) Lin Wang (1) Ben Chugg (1) Murat A Erdogdu (1)

Research topics

Machine Learning (4) Mathematics & Optimization (3) Optimization & Theory (3) Mathematics (2) Statistics (2) Computer Vision (1) Deep Learning (1) Application Areas (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1) Probability (1) Processing (1)

Keywords

stochastic gradient descent (1) event camera (1) robust statistics (1) depth estimation (1) video super-resolution (1) hypothesis testing (1) kullback-leibler divergence (1) stochastic process (1) universal portfolio (1) strongly convex objectives (1) polyak-ruppert averaging (1) strongly convex optimization (1) implicit neural representation (1) generalization bound (1) pac-bayesian bound (1) regret bound (1) pac-bayes bound (1) convergence rate (1) sequential analysis (1) confidence sequence (1)

Papers

Almost sure null bankruptcy of testing-by-betting strategies COLT 2026 A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds JMLR 2023 Huber-robust confidence sequences AISTATS 2023 Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution CVPR 2023 Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance NeurIPS 2021