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Poster
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Distributed Learning of Finite Gaussian Mixtures Qiong Zhang · Jiahua Chen |
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Poster
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TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training Chang Chen · Min Li · Zhihua Wu · Dianhai Yu · Chao Yang |
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Poster
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Thu 9:00 |
Training stochastic stabilized supralinear networks by dynamics-neutral growth Wayne Soo · Mate Lengyel |
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Workshop
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Towards a non-Gaussian Generative Model of large-scale Reionization Maps Yu-Heng Lin · Sultan Hassan · Bruno Régaldo-Saint Blancard · Michael Eickenberg · Chirag Modi |
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Poster
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Tue 9:00 |
Private Estimation with Public Data Alex Bie · Gautam Kamath · Vikrant Singhal |
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Affinity Workshop
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Mixture of Gaussian Processes with Probabilistic Circuits for Multi-Output Regression Mingye Zhu · Zhongjie Yu · Martin Trapp · Arseny Skryagin · Kristian Kersting |
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Poster
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Wed 14:00 |
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang · Wenguan Wang · Jiaxu Miao · Yi Yang |
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Poster
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Tue 9:00 |
Pluralistic Image Completion with Gaussian Mixture Models Xiaobo Xia · Wenhao Yang · Jie Ren · Yewen Li · Yibing Zhan · Bo Han · Tongliang Liu |
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Poster
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High-dimensional limit theorems for SGD: Effective dynamics and critical scaling Gerard Ben Arous · Reza Gheissari · Aukosh Jagannath |
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Workshop
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Provably Reliable Large-Scale Sampling from Gaussian Processes Anthony Stephenson · Robert Allison |
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Poster
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Tue 14:00 |
Robust Model Selection and Nearly-Proper Learning for GMMs Allen Liu · Jerry Li · Ankur Moitra |
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Poster
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Wed 14:00 |
A Fourier Approach to Mixture Learning Mingda Qiao · Guru Guruganesh · Ankit Rawat · Kumar Avinava Dubey · Manzil Zaheer |