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Poster
Tue 18:30 Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent
Frederik Kunstner · Raunak Kumar · Mark Schmidt
Poster
Wed 6:00 A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models
Samet Oymak · Talha Cihad Gulcu
Poster
Thu 7:30 Local SGD: Unified Theory and New Efficient Methods
Eduard Gorbunov · Filip Hanzely · Peter Richtarik
Poster
Thu 7:30 A Spectral Analysis of Dot-product Kernels
Meyer Scetbon · Zaid Harchaoui
Poster
Wed 12:45 Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns
Ziping Xu · Amirhossein Meisami · Ambuj Tewari
Poster
Tue 14:00 On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow
Youssef Mroueh · Truyen Nguyen
Poster
Wed 12:45 Fast and Smooth Interpolation on Wasserstein Space
Sinho Chewi · Julien Clancy · Thibaut Le Gouic · Philippe Rigollet · George Stepaniants · Austin Stromme
Poster
Wed 12:45 On the Consistency of Metric and Non-Metric K-Medoids
He Jiang · Ery Arias-Castro
Poster
Tue 14:00 On Learning Continuous Pairwise Markov Random Fields
Abhin Shah · Devavrat Shah · Gregory Wornell
Poster
Thu 7:30 Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models
Leena Chennuru Vankadara · Sebastian Bordt · Ulrike von Luxburg · Debarghya Ghoshdastidar
Poster
Tue 18:30 A Parameter-Free Algorithm for Misspecified Linear Contextual Bandits
Kei Takemura · Shinji Ito · Daisuke Hatano · Hanna Sumita · Takuro Fukunaga · Naonori Kakimura · Ken-ichi Kawarabayashi
Poster
Tue 14:00 A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
Thang Doan · Mehdi Abbana Bennani · Bogdan Mazoure · Guillaume Rabusseau · Pierre Alquier