Arthur da Cunha

5 papers · 2022–2026 · 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (10) 🔥 Unstoppable · Bronze

Venues

ALT (2) NeurIPS (2) ICLR (1)

Top co-authors

Kasper Green Larsen (2) Mikael Møller Høgsgaard (2) Martin Ritzert (1) Laurent Viennot (1) Andrea Paudice (1) Emanuele Natale (1) Natale (1) Francesco D'Amore (1)

Research topics

Machine Learning (5) Optimization & Theory · Machine Learning (5) Deep Learning (2) Architectures (2) Core Methods (2) Application Areas (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

convolutional neural network (2) lottery ticket hypothesis (2) weak learner (2) sample complexity (1) network pruning (1) computational complexity (1) parallel computing (1) boosting (1) generalization error (1) sample compression (1) network optimization (1) subsampling (1) boosting algorithm (1) structured pruning (1) neural network initialization (1) voting classifier (1) strong learning (1) weak learning (1) agnostic boosting (1) subnetwork training (1)

Papers

Sample-Near-Optimal Agnostic Boosting with Improved Running Time ALT 2026 Boosting, Voting Classifiers and Randomized Sample Compression Schemes ALT 2025 Optimal Parallelization of Boosting NeurIPS 2024 Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets NeurIPS 2023 Proving the Lottery Ticket Hypothesis for Convolutional Neural Networks ICLR 2022