Yunwei Ren

4 papers · 2021–2026 · 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

NeurIPS (2) COLT (1) ICLR (1)

Top co-authors

Rong Ge (2) Mo Zhou (2) Jason D. Lee (2) Zixuan Wang (1) Florent Krzakala (1) Yatin Dandi (1) Xiang Wang (1)

Research topics

Machine Learning (4) Optimization & Theory · Machine Learning (3) Deep Learning (2) Architectures (2) Mathematics & Optimization (1) Natural Language Processing (1) Core Methods (1) Generation (1) Learning Types (1) Mathematics (1) Optimization & Theory · Deep Learning (1)

Keywords

transfer learning (1) language modeling (1) sample complexity (1) deep learning theory (1) neural network optimization (1) tensor decomposition (1) hierarchical feature learning (1) low-rank tensor (1) convolutional neural network (1) gradient flow (1) linear transformer (1) sparse contextual bigram (1) layer-wise training (1) representation power (1) depth separation (1) tensor deflation (1) mean-field network (1)

Papers

Provable Learning of Random Hierarchy Models and Hierarchical Shallow-to-Deep Chaining COLT 2026 Learning and Transferring Sparse Contextual Bigrams with Linear Transformers NeurIPS 2024 Depth Separation with Multilayer Mean-Field Networks ICLR 2023 Understanding Deflation Process in Over-parametrized Tensor Decomposition NeurIPS 2021