Dachuan Xu

5 papers · 2021–2024 · 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird

Venues

AAAI (3) ICML (1) JMLR (1)

Top co-authors

Fan Yu (2) Xiaolei Liu (2) Min Wang (2) Zidong Wang (2) Kaixin Gao (2) Zhenghai Huang (2) Lei Chen (1) Ningxi Ni (1) Yong Zhang (1) Mengyun Chen (1)

Research topics

Machine Learning (5) Optimization & Theory · Machine Learning (5) Mathematics & Optimization (3) Optimization (3) Deep Learning (2) Optimization & Theory · Deep Learning (2) Techniques (2) Artificial Intelligence (1) Computer Science (1) Core AI (1) Core Methods (1) Foundations (1) Mathematics (1)

Keywords

approximation algorithm (2) fisher information matrix (2) second-order optimization (2) neural network training (2) natural gradient (1) natural gradient descent (1) stochastic approximation (1) oracle complexity (1) clustering algorithm (1) deep neural network (1) zeroth-order optimization (1) parameterized algorithm (1) k-center clustering (1) hardware acceleration (1) model optimization (1) matroid constraint (1) fixed-parameter tractability (1) fixed-parameter tractable (1) dr-submodular function (1) coordinate gradient estimator (1)

Papers

Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants AAAI 2024 SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity ICML 2024 Zeroth-order Stochastic Approximation Algorithms for DR-submodular Optimization JMLR 2024 A Trace-restricted Kronecker-Factored Approximation to Natural Gradient AAAI 2021 THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation AAAI 2021