Poster

Wed 6:00

Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications
Guillaume Ausset · Stephan Clémençon · François Portier

Poster

Tue 14:00

Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning
Zachary Charles · Jakub Konečný

Poster

Tue 14:00

Sharp Analysis of a Simple Model for Random Forests
Jason Klusowski

Poster

Thu 7:30

Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates
Sebastian Stich · Amirkeivan Mohtashami · Martin Jaggi

Poster

Wed 12:45

Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors
Nikhil Mehta · Kevin Liang · Vinay Kumar Verma · Lawrence Carin Duke

Poster

Wed 12:45

Towards Flexible Device Participation in Federated Learning
Yichen Ruan · Xiaoxi Zhang · Shu-Che Liang · Carlee Joe-Wong

Poster

Wed 12:45

Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions
Yihan Wu · Aleksandar Bojchevski · Aleksei Kuvshinov · Stephan Günnemann

Poster

Wed 6:00

Nonlinear Functional Output Regression: A Dictionary Approach
Dimitri Bouche · Marianne Clausel · François Roueff · Florence d'Alché-Buc

Poster

Thu 7:30

The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers
Mohamed El Amine Seddik · Cosme Louart · Romain COUILLET · Mohamed Tamaazousti

Poster

Tue 18:30

Regret Minimization for Causal Inference on Large Treatment Space
Akira Tanimoto · Tomoya Sakai · Takashi Takenouchi · Hisashi Kashima

Poster

Wed 12:45

One-Sketch-for-All: Non-linear Random Features from Compressed Linear Measurements
Xiaoyun Li · Ping Li

Poster

Tue 18:30

Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms
Tianyu Ding · Zhihui Zhu · Manolis Tsakiris · Rene Vidal · Daniel Robinson