Wanyun Xie

5 papers · 2023–2025 · 2 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 · Bronze 🗺️ Taxonomy Completionist (13)

Venues

ICML (3) NeurIPS (2)

Top co-authors

Volkan Cevher (5) Thomas Pethick (4) Kimon Antonakopoulos (2) Zhenyu Zhu (1) Francesco Tonin (1) Fabian Latorre (1) Antonio Silveti-Falls (1)

Research topics

Machine Learning (5) Optimization & Theory · Machine Learning (4) Deep Learning (3) Mathematics & Optimization (2) Application Areas (2) Optimization (2) Optimization & Theory · Deep Learning (2) Artificial Intelligence (1) Architectures (1) Core AI (1) Core Methods (1) Techniques (1)

Keywords

sharpness-aware minimization (2) neural network training (1) non-convex optimization (1) embedding space (1) neural network optimization (1) loss landscape (1) parallel computing (1) gradient computation (1) deep architecture (1) bilevel optimization (1) 0-1 loss (1) convergence guarantee (1) generative adversarial network (1) leverage score (1) model generalization (1) lookahead optimizer (1) gradient descent ascent (1) parallel training (1) linear interpolation (1) few-shot reasoning (1)

Papers

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning ICML 2025 Training Deep Learning Models with Norm-Constrained LMOs ICML 2025 Improving SAM Requires Rethinking its Optimization Formulation ICML 2024 SAMPa: Sharpness-aware Minimization Parallelized NeurIPS 2024 Stable Nonconvex-Nonconcave Training via Linear Interpolation NeurIPS 2023