Poster

Thu 14:00

A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data
Jelena Diakonikolas · Chenghui Li · Swati Padmanabhan · Chaobing Song

Poster

Tue 14:00

Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent
Sebastian Dalleiger · Jilles Vreeken

Poster

Tue 9:00

Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
Jayneel Parekh · Sanjeel Parekh · Pavlo Mozharovskyi · Florence d'Alché-Buc · Gaël Richard

Poster

Thu 9:00

A sharp NMF result with applications in network modeling
Jiashun Jin

Poster

Wed 9:00

Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Liangzu Peng · Christian Kümmerle · Rene Vidal

Workshop

LSGANs with Gradient Regularizers are Smooth High-dimensional Interpolators
Siddarth Asokan · Chandra Seelamantula

Poster

Thu 9:00

Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients
Hualin Zhang · Huan Xiong · Bin Gu

Workshop

Efficient Variational Gaussian Processes Initialization via Kernel-based Least Squares Fitting
Xinran Zhu · David Bindel · Jacob Gardner

Poster

Fused Orthogonal Alternating Least Squares for Tensor Clustering
Jiacheng Wang · Dan Nicolae

Poster

Tue 9:00

Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
Etienne Boursier · Loucas PILLAUD-VIVIEN · Nicolas Flammarion

Poster

Thu 9:00

Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions
Courtney Paquette · Elliot Paquette · Ben Adlam · Jeffrey Pennington

Poster

Wed 9:00

Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime
Difan Zou · Jingfeng Wu · Vladimir Braverman · Quanquan Gu · Sham Kakade