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Poster
Tue 14:00 Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes
Nhuong Nguyen · Toan Nguyen · PHUONG HA NGUYEN · Quoc Tran-Dinh · Lam Nguyen · Marten van Dijk
Mentorship
Tue 20:30 Mentorship Session 2
Oral
Tue 11:15 Stable ResNet
Soufiane Hayou · Eugenio Clerico · Bobby He · George Deligiannidis · Arnaud Doucet · Judith Rousseau
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 Session
Thu 7:30 Poster Session 5
Mentorship
Thu 9:45 Mentorship Session 7
Oral
Tue 10:30 Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent
Frederik Kunstner · Raunak Kumar · Mark Schmidt
Oral
Tue 12:00 Maximal Couplings of the Metropolis-Hastings Algorithm
Guanyang Wang · John O'Leary · Pierre Jacob
Oral Session
Tue 16:15 Bandits, Reinforcement Learning / Optimization
Poster
Thu 7:30 CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices
Valerii Likhosherstov · Jared Davis · Krzysztof Choromanski · Adrian Weller
Poster
Tue 14:00 Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning
Hitesh Sapkota · Yiming Ying · Feng Chen · Qi Yu
Oral
Wed 12:15 On Learning Continuous Pairwise Markov Random Fields
Abhin Shah · Devavrat Shah · Gregory Wornell