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Poster
Thu 9:00 Locally Hierarchical Auto-Regressive Modeling for Image Generation
Tackgeun You · Saehoon Kim · Chiheon Kim · Doyup Lee · Bohyung Han
Workshop
Regression-Based Elastic Metric Learning on Shape Spaces of Cell Curves
Adele Myers · Nina Miolane
Poster
Thu 14:00 What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
Shivam Garg · Dimitris Tsipras · Percy Liang · Gregory Valiant
Poster
Tue 9:00 Global Convergence of Federated Learning for Mixed Regression
Lili Su · Jiaming Xu · Pengkun Yang
Poster
Wed 14:00 Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression
Jason Yecheng Ma · Jason Yan · Dinesh Jayaraman · Osbert Bastani
Poster
Wed 14:00 Conformalized Fairness via Quantile Regression
Meichen Liu · Lei Ding · Dengdeng Yu · Wulong Liu · Linglong Kong · Bei Jiang
Poster
Thu 9:00 Acceleration in Distributed Sparse Regression
Marie Maros · Gesualdo Scutari
Poster
Tue 14:00 Semi-supervised Active Linear Regression
Nived Rajaraman · Fnu Devvrit · Pranjal Awasthi
Poster
Wed 9:00 Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Liangzu Peng · Christian K├╝mmerle · Rene Vidal
Poster
Wed 9:00 Interpolation and Regularization for Causal Learning
Leena Chennuru Vankadara · Luca Rendsburg · Ulrike Luxburg · Debarghya Ghoshdastidar
Poster
Thu 9:00 Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution
Jianhao Ma · Salar Fattahi
Poster
Thu 14:00 CoNSoLe: Convex Neural Symbolic Learning
Haoran Li · Yang Weng · Hanghang Tong