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Poster
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Tue 15:15
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Undirected Probabilistic Model for Tensor Decomposition
Zerui Tao · Toshihisa Tanaka · Qibin Zhao
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Poster
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Thu 8:45
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On permutation symmetries in Bayesian neural network posteriors: a variational perspective
Simone Rossi · Simone Rossi · Ankit Singh · Thomas Hannagan
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Workshop
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Training Bayesian Neural Networks with Sparse Subspace Variational Inference
Junbo Li · Zichen Miao · Qiang Qiu · Ruqi Zhang
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Poster
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Tue 15:15
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Sparse Deep Learning for Time Series Data: Theory and Applications
Mingxuan Zhang · Yan Sun · Faming Liang
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Poster
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Tue 15:15
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Towards Accelerated Model Training via Bayesian Data Selection
Zhijie Deng · Peng Cui · Jun Zhu
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Poster
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Wed 8:45
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Streaming Factor Trajectory Learning for Temporal Tensor Decomposition
Shikai Fang · Xin Yu · Shibo Li · Zheng Wang · Mike Kirby · Shandian Zhe
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Poster
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Tue 15:15
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On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy
Caleb Dahlke · Jason Pacheco
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Poster
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Thu 8:45
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VaRT: Variational Regression Trees
Sebastian Salazar
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Poster
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Thu 15:00
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ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion
WEI XING · Yuxin Wang · Zheng Xing
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Poster
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Tue 15:15
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Embracing the chaos: analysis and diagnosis of numerical instability in variational flows
Zuheng Xu · Trevor Campbell
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Poster
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Thu 8:45
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Provable convergence guarantees for black-box variational inference
Justin Domke · Robert Gower · Guillaume Garrigos
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Poster
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Tue 15:15
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Bayesian Learning via Q-Exponential Process
Shuyi Li · Michael O'Connor · Shiwei Lan
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