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Poster
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Wed 14:00
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HOGWILD!-Gibbs can be PanAccurate
Constantinos Daskalakis · Nishanth Dikkala · Siddhartha Jayanti
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Poster
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Thu 14:00
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A Bandit Approach to Sequential Experimental Design with False Discovery Control
Kevin Jamieson · Lalit Jain
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Workshop
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Fri 11:30
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Talk 6: Dan Yamins - The Objects of Our Curiosity: Intrinsic Motivation, Intuitive Physics and Self-Supervised Learning
Daniel Yamins
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Poster
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Wed 7:45
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Mean-field theory of graph neural networks in graph partitioning
Tatsuro Kawamoto · Masashi Tsubaki · Tomoyuki Obuchi
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Poster
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Wed 14:00
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Objective and efficient inference for couplings in neuronal networks
Yu Terada · Tomoyuki Obuchi · Takuya Isomura · Yoshiyuki Kabashima
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Poster
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Wed 7:45
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Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks
Grant Rotskoff · Eric Vanden-Eijnden
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Poster
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Thu 7:45
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Entropy and mutual information in models of deep neural networks
Marylou Gabrié · Andre Manoel · Clément Luneau · jean barbier · Nicolas Macris · Florent Krzakala · Lenka Zdeborová
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Workshop
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Sat 7:25
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Open Source Machine Learning Software Development in CERN(High-Energy Physics): lessons and exchange of experience
Sergei Gleyzer
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Poster
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Thu 7:45
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The committee machine: Computational to statistical gaps in learning a two-layers neural network
Benjamin Aubin · Antoine Maillard · jean barbier · Florent Krzakala · Nicolas Macris · Lenka Zdeborová
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Poster
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Wed 7:45
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Statistical mechanics of low-rank tensor decomposition
Jonathan Kadmon · Surya Ganguli
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Poster
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Wed 14:00
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Contextual Stochastic Block Models
Yash Deshpande · Subhabrata Sen · Andrea Montanari · Elchanan Mossel
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Poster
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Wed 7:45
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PCA of high dimensional random walks with comparison to neural network training
Joseph Antognini · Jascha Sohl-Dickstein
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