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Oral
Thu 15:15 A constrained risk inequality for general losses
John Duchi · Feng Ruan
Poster
Tue 14:00 A constrained risk inequality for general losses
John Duchi · Feng Ruan
Poster
Wed 12:45 On the Consistency of Metric and Non-Metric K-Medoids
He Jiang · Ery Arias-Castro
Poster
Wed 12:45 Geometrically Enriched Latent Spaces
Georgios Arvanitidis · Soren Hauberg · Bernhard Schölkopf
Poster
Wed 12:45 DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks
Shiyun Xu · Zhiqi Bu
Poster
Wed 12:45 Product Manifold Learning
Sharon Zhang · Amit Moscovich · Amit Singer
Oral Session
Tue 10:30 Theory of Statistical and Deep Learning Methods
Poster
Tue 18:30 Independent Innovation Analysis for Nonlinear Vector Autoregressive Process
Hiroshi Morioka · Hermanni Hälvä · Aapo Hyvarinen
Poster
Tue 14:00 A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks
Zhiqi Bu · Shiyun Xu · Kan Chen
Poster
Wed 12:45 Curriculum Learning by Optimizing Learning Dynamics
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
Poster
Tue 14:00 Sketch based Memory for Neural Networks
Rina Panigrahy · Xin Wang · Manzil Zaheer
Poster
Thu 7:30 Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon
Jeremiah Liu