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12 Results

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Poster
Wed 14:00 Giga-scale Kernel Matrix-Vector Multiplication on GPU
Robert Hu · Siu Lun Chau · Dino Sejdinovic · Joan Glaunès
Poster
Thu 9:00 Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence
Rahul Jain · Georgios Piliouras · Ryann Sim
Poster
Thu 14:00 GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale
Tim Dettmers · Mike Lewis · Younes Belkada · Luke Zettlemoyer
Poster
Wed 9:00 Personalized Online Federated Learning with Multiple Kernels
Pouya M. Ghari · Yanning Shen
Workshop
Sat 11:31 Invited talk AlphaTensor: Discovering faster matrix multiplication algorithms with RL
Matej Balog
Poster
Thu 9:00 High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
Jimmy Ba · Murat Erdogdu · Taiji Suzuki · Zhichao Wang · Denny Wu · Greg Yang
Poster
"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
lingyu gu · Yongqi Du · yuan zhang · Di Xie · Shiliang Pu · Robert Qiu · Zhenyu Liao
Poster
Tue 9:00 Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel
Weixuan Liang · Xinwang Liu · Yong Liu · sihang zhou · Jun-Jie Huang · Siwei Wang · Jiyuan Liu · Yi Zhang · En Zhu
Poster
Wed 9:00 Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales
Tao Liu · P. R. Kumar · Ruida Zhou · Xi Liu
Workshop
A Stochastic Conjugate Subgradient Algorithm for Kernelized Support Vector Machines: The Evidence
Di Zhang · Suvrajeet Sen
Poster
Wed 14:00 The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization
Mufan Li · Mihai Nica · Dan Roy
Poster
Thu 9:00 A Consolidated Cross-Validation Algorithm for Support Vector Machines via Data Reduction
Boxiang Wang · Archer Yang