Yi-Shan Wu

6 papers · 2019–2026 · 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 (18) 🐣 Hot Topic Early Bird

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Venues

NeurIPS (3) ACML (1) AISTATS (1) UAI (1)

Top co-authors

Yevgeny Seldin (3) Chi-Jen Lu (2) Christian Igel (1) Yijie Zhang (1) Abdullah Akgül (1) Melih Kandemir (1) Andres Masegosa (1) Po-An Wang (1) Nicklas Werge (1) Stephan Lorenzen (1)

Research topics

Machine Learning (6) Optimization & Theory (5) Artificial Intelligence (3) Core AI (3) Learning Types (3) Mathematics & Optimization (2) Bayesian & Probabilistic (1) Core Methods (1) Mathematics (1) Optimization (1)

Keywords

regret bound (3) concentration inequality (2) lifelong learning (2) kl divergence (2) multi-task learning (1) online learning (1) bayesian inference (1) pac-bayesian analysis (1) online optimization (1) online prediction (1) expert advice (1) empirical bernstein (1) random variable (1) pac-bayes bound (1) confidence interval (1) randomized exploration (1) linear contextual bandit (1) sequential task (1) expected loss (1) low regret (1)

Papers

Weighted Sequential Bayesian Inference for Non-Stationary Linear Contextual Bandits UAI 2026 Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss NeurIPS 2024 Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables NeurIPS 2022 Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote NeurIPS 2021 Lifelong Learning with Branching Experts ACML 2021 Lifelong Optimization with Low Regret AISTATS 2019