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Poster
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Thu 14:00
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A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data
Jelena Diakonikolas · Chenghui Li · Swati Padmanabhan · Chaobing Song
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Poster
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Tue 14:00
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Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent
Sebastian Dalleiger · Jilles Vreeken
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Poster
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Tue 9:00
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Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
Jayneel Parekh · Sanjeel Parekh · Pavlo Mozharovskyi · Florence d'Alché-Buc · Gaël Richard
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Poster
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Thu 9:00
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A sharp NMF result with applications in network modeling
Jiashun Jin
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Poster
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Wed 9:00
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Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Liangzu Peng · Christian Kümmerle · Rene Vidal
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Workshop
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LSGANs with Gradient Regularizers are Smooth High-dimensional Interpolators
Siddarth Asokan · Chandra Seelamantula
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Poster
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Thu 9:00
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Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients
Hualin Zhang · Huan Xiong · Bin Gu
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Workshop
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Efficient Variational Gaussian Processes Initialization via Kernel-based Least Squares Fitting
Xinran Zhu · David Bindel · Jacob Gardner
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Poster
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Fused Orthogonal Alternating Least Squares for Tensor Clustering
Jiacheng Wang · Dan Nicolae
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Poster
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Tue 9:00
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Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
Etienne Boursier · Loucas PILLAUD-VIVIEN · Nicolas Flammarion
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Poster
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Thu 9:00
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Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions
Courtney Paquette · Elliot Paquette · Ben Adlam · Jeffrey Pennington
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Poster
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Wed 9:00
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Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime
Difan Zou · Jingfeng Wu · Vladimir Braverman · Quanquan Gu · Sham Kakade
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