Anna Gilbert

7 papers · 2017–2024 · 4 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 (15) 🐣 Hot Topic Early Bird

❓ The Questioner (2)

Venues

NeurIPS (4) ICML (1) IJCAI (1) UAI (1)

Top co-authors

Rishi Sonthalia (2) Umang Varma (1) Yuting Zhang (1) Dana Pe’er (1) Tal Nawy (1) Cassandra Burdziak (1) Russell Zhang Kunes (1) Honglak Lee (1) Benjamin Raichel (1) Yi Zhang (1)

Research topics

Machine Learning (7) Core Methods (6) Mathematics & Optimization (4) Mathematics (3) Optimization & Theory (3) Deep Learning (2) Architectures (2) Application Areas (1) Optimization (1)

Keywords

metric learning (2) statistical learning (1) dimensionality reduction (1) sparse recovery (1) compressive sensing (1) feature selection (1) embedding (1) sample complexity (1) transformer (1) neural network theory (1) signal reconstruction (1) eigenvalue decomposition (1) distance matrix (1) low-dimensional embedding (1) rank aggregation (1) euclidean distance (1) autoencoders (1) support vector machine (1) learning rate (1) tree structure (1)

Papers

Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer ICML 2024 Fitting trees to ℓ_1-hyperbolic distances NeurIPS 2023 How can classical multidimensional scaling go wrong? NeurIPS 2021 Spectral Methods for Ranking with Scarce Data UAI 2020 Tree! I am no Tree! I am a low dimensional Hyperbolic Embedding NeurIPS 2020 But How Does It Work in Theory? Linear SVM with Random Features NeurIPS 2018 Towards Understanding the Invertibility of Convolutional Neural Networks IJCAI 2017