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Poster
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Tue 1:00
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Generalised GPLVM with Stochastic Variational Inference
Vidhi Lalchand · Aditya Ravuri · Neil Lawrence
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Poster
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Mon 4:30
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On a Connection Between Fast and Sparse Oblivious Subspace Embeddings
Rui Wang · Wangli Xu
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Poster
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Tue 1:00
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Learning Tensor Representations for Meta-Learning
Samuel Deng · Yilin Guo · Daniel Hsu · Debmalya Mandal
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Poster
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Wed 8:30
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Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks
Amy Babay · Michael Dinitz · Aravind Srinivasan · Leonidas Tsepenekas · Anil Vullikanti
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Poster
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Wed 8:30
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Learning from Multiple Noisy Partial Labelers
Peilin Yu · Tiffany Ding · Stephen Bach
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Poster
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Wed 8:30
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Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity
Joshua Behne · Galen Reeves
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Poster
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Wed 3:30
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On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds
Trung Le · Anh Bui · LE Minh Tri Tue · He Zhao · Paul Montague · Quan Tran · Dinh Phung
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Poster
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Wed 8:30
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The role of optimization geometry in single neuron learning
Nicholas Boffi · Stephen Tu · Jean-Jacques Slotine
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Poster
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Wed 3:30
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On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms
Nhat Ho · Tianyi Lin · Michael Jordan
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Poster
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Wed 8:30
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A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy
Kevin Bello · Chuyang Ke · Jean Honorio
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Poster
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Tue 1:00
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Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport
Alex Delalande
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