Ben Adcock

3 papers · 2023–2024 · 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 (12) 🏆 Keyword Champion (2)

Venues

NeurIPS (2) ICML (1)

Top co-authors

Nick Dexter (3) Juan M. Cardenas (2) Sebastian Moraga (1)

Research topics

Machine Learning (3) Optimization & Theory · Machine Learning (3) Deep Learning (1) Mathematics & Optimization (1) Architectures (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Mathematics (1) Optimization (1) Optimization & Theory · Deep Learning (1)

Keywords

generalization bound (2) scientific computing (2) hilbert space (1) linear measurement (1) deep neural network (1) physics-informed neural network (1) partial differential equation (1) operator learning (1) holomorphic operator (1) parametric pde (1) banach space (1) neural network (1) christoffel function (1) sampling measure (1) distribution of sampling operators (1) nonlinear model classes (1) active learning (1) variation of a model class (1) deep learning (1)

Papers

A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples ICML 2024 Optimal deep learning of holomorphic operators between Banach spaces NeurIPS 2024 CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions NeurIPS 2023