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13 Results
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Workshop
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ASDL: A Unified Interface for Gradient Preconditioning in PyTorch Kazuki Osawa · Satoki Ishikawa · Rio Yokota · Shigang Li · Torsten Hoefler |
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Workshop
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Empirical Study on Optimizer Selection for Out-of-Distribution Generalization Hiroki Naganuma · Kartik Ahuja · Ioannis Mitliagkas · Shiro Takagi · Tetsuya Motokawa · Rio Yokota · Kohta Ishikawa · Ikuro Sato |
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Poster
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Wed 14:00 |
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data Ali Eshragh · Fred Roosta · Asef Nazari · Michael Mahoney |
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Poster
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Tue 14:00 |
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network SIQI LIANG · Yan Sun · Faming Liang |
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Workshop
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A kernel balancing approach that scales to big data Kwangho Kim · Bijan Niknam · Jose Zubizarreta |
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Poster
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Wed 14:00 |
Where to Pay Attention in Sparse Training for Feature Selection? Ghada Sokar · Zahra Atashgahi · Mykola Pechenizkiy · Decebal Constantin Mocanu |
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Poster
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Thu 14:00 |
Pre-activation Distributions Expose Backdoor Neurons Runkai Zheng · Rongjun Tang · Jianze Li · Li Liu |
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Workshop
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Smoothed-SGDmax: A Stability-Inspired Algorithm to Improve Adversarial Generalization Jiancong Xiao · Jiawei Zhang · Zhiquan Luo · Asuman Ozdaglar |
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Poster
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Perturbation Learning Based Anomaly Detection Jinyu Cai · Jicong Fan |
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Poster
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Thu 14:00 |
A Simple Approach to Automated Spectral Clustering Jicong Fan · Yiheng Tu · Zhao Zhang · Mingbo Zhao · Haijun Zhang |
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Poster
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Wed 14:00 |
Giga-scale Kernel Matrix-Vector Multiplication on GPU Robert Hu · Siu Lun Chau · Dino Sejdinovic · Joan Glaunès |
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Poster
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Fair Bayes-Optimal Classifiers Under Predictive Parity Xianli Zeng · Edgar Dobriban · Guang Cheng |