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Workshop
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Sat 8:30
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François Laviolette - A Tutorial on PAC-Bayesian Theory
Francois Laviolette
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Poster
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Mon 18:30
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A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent
Ben London
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Poster
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Mon 18:30
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A simple model of recognition and recall memory
Nisheeth Srivastava · Edward Vul
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Poster
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Tue 18:30
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Convergence rates of a partition based Bayesian multivariate density estimation method
Linxi Liu · Dangna Li · Wing Hung Wong
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Poster
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Wed 18:30
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Renyi Differential Privacy Mechanisms for Posterior Sampling
Joseph Geumlek · Shuang Song · Kamalika Chaudhuri
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Poster
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Mon 18:30
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Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity
Asish Ghoshal · Jean Honorio
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Poster
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Mon 18:30
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Structured Bayesian Pruning via Log-Normal Multiplicative Noise
Kirill Neklyudov · Dmitry Molchanov · Arsenii Ashukha · Dmitry Vetrov
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Poster
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Wed 18:30
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From Bayesian Sparsity to Gated Recurrent Nets
Hao He · Bo Xin · Satoshi Ikehata · David Wipf
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Poster
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Mon 18:30
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A Bayesian Data Augmentation Approach for Learning Deep Models
Toan Tran · Trung Pham · Gustavo Carneiro · Lyle Palmer · Ian Reid
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Poster
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Wed 18:30
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Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee · Jin-Hwa Kim · Jaehyun Jun · Jung-Woo Ha · Byoung-Tak Zhang
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