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Poster
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Wed 17:00
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Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
Santosh Vempala · Andre Wibisono
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Poster
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Wed 17:00
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Fast and Accurate Stochastic Gradient Estimation
Beidi Chen · Yingchen Xu · Anshumali Shrivastava
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Poster
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Thu 17:00
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On Distributed Averaging for Stochastic k-PCA
Aditya Bhaskara · Pruthuvi Maheshakya Wijewardena
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Poster
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Wed 10:45
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A Latent Variational Framework for Stochastic Optimization
Philippe Casgrain
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Poster
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Tue 17:30
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Necessary and Sufficient Geometries for Gradient Methods
Daniel Levy · John Duchi
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Poster
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Wed 10:45
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Minimal Variance Sampling in Stochastic Gradient Boosting
Bulat Ibragimov · Gleb Gusev
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Poster
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Tue 17:30
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A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers
Hao Yu
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Poster
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Thu 10:45
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DTWNet: a Dynamic Time Warping Network
Xingyu Cai · Tingyang Xu · Jinfeng Yi · Junzhou Huang · Sanguthevar Rajasekaran
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Poster
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Thu 17:00
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Thinning for Accelerating the Learning of Point Processes
Tianbo Li · Yiping Ke
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Poster
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Wed 17:00
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Gradient-based Adaptive Markov Chain Monte Carlo
Michalis Titsias · Petros Dellaportas
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Poster
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Tue 17:30
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Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction
Difan Zou · Pan Xu · Quanquan Gu
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Poster
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Wed 17:00
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Stochastic Frank-Wolfe for Composite Convex Minimization
Francesco Locatello · Alp Yurtsever · Olivier Fercoq · Volkan Cevher
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