Gilbert, Anna

10 publications

TMLR 2025 Shedding Light on Problems with Hyperbolic Graph Learning Isay Katsman, Anna Gilbert

NeurIPSW 2024 RelWire: Metric Based Rewiring Rishi Sonthalia, Anna Gilbert, Matthew Durham

ICML 2024 Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer Doron Haviv, Russell Zhang Kunes, Thomas Dougherty, Cassandra Burdziak, Tal Nawy, Anna Gilbert, Dana Pe’Er

NeurIPS 2023 Fitting Trees to $\ell_1$-Hyperbolic Distances Joon-Hyeok Yim, Anna Gilbert

NeurIPSW 2023 RelWire: Metric Based Graph Rewiring Rishi Sonthalia, Anna Gilbert, Matthew Durham

ICLRW 2022 CubeRep: Learning Relations Between Different Views of Data Rishi Sonthalia, Anna Gilbert, Matthew Durham

NeurIPS 2021 How Can Classical Multidimensional Scaling Go Wrong? Rishi Sonthalia, Greg Van Buskirk, Benjamin Raichel, Anna Gilbert

UAI 2020 Spectral Methods for Ranking with Scarce Data Lalit Jain, Anna Gilbert, Umang Varma

NeurIPS 2020 Tree! I Am No Tree! I Am a Low Dimensional Hyperbolic Embedding Rishi Sonthalia, Anna Gilbert

NeurIPS 2018 But How Does It Work in Theory? Linear SVM with Random Features Yitong Sun, Anna Gilbert, Ambuj Tewari