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