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Poster
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Mon 9:00
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An urn model for majority voting in classification ensembles
Victor Soto · Alberto Suárez · Gonzalo Martinez-Muñoz
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Poster
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Mon 9:00
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Optimal Cluster Recovery in the Labeled Stochastic Block Model
Se-Young Yun · Alexandre Proutiere
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Poster
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Mon 9:00
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Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes
Hassan A Kingravi · Harshal R Maske · Girish Chowdhary
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Poster
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Mon 9:00
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Quantized Random Projections and Non-Linear Estimation of Cosine Similarity
Ping Li · Michael Mitzenmacher · Martin Slawski
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Poster
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Wed 9:00
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The Forget-me-not Process
Kieran Milan · Joel Veness · James Kirkpatrick · Michael Bowling · Anna Koop · Demis Hassabis
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Poster
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Tue 9:00
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Agnostic Estimation for Misspecified Phase Retrieval Models
Matey Neykov · Zhaoran Wang · Han Liu
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Workshop
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Fri 1:30
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Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
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Poster
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Wed 9:00
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High Dimensional Structured Superposition Models
Qilong Gu · Arindam Banerjee
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Poster
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Tue 9:00
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Understanding Probabilistic Sparse Gaussian Process Approximations
Matthias Bauer · Mark van der Wilk · Carl Edward Rasmussen
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Poster
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Mon 9:00
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A Bayesian method for reducing bias in neural representational similarity analysis
Mingbo Cai · Nicolas W Schuck · Jonathan Pillow · Yael Niv
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Poster
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Wed 9:00
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Kronecker Determinantal Point Processes
Zelda Mariet · Suvrit Sra
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Poster
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Mon 9:00
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Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models
Marc Vuffray · Sidhant Misra · Andrey Lokhov · Michael Chertkov
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