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Poster
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Wed 7:45
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Asymptotic optimality of adaptive importance sampling
François Portier · Bernard Delyon
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Poster
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Thu 7:45
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Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net
Tom Michoel
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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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Overlapping Clustering Models, and One (class) SVM to Bind Them All
Xueyu Mao · Purnamrita Sarkar · Deepayan Chakrabarti
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Poster
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Wed 14:00
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Constrained Cross-Entropy Method for Safe Reinforcement Learning
Min Wen · Ufuk Topcu
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Poster
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Wed 7:45
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Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization
Tianyi Liu · Shiyang Li · Jianping Shi · Enlu Zhou · Tuo Zhao
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Poster
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Thu 14:00
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Fully Understanding The Hashing Trick
Lior Kamma · Casper B. Freksen · Kasper Green Larsen
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Poster
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Thu 14:00
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Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization
Minshuo Chen · Lin Yang · Mengdi Wang · Tuo Zhao
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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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Binary Rating Estimation with Graph Side Information
Kwangjun Ahn · Kangwook Lee · Hyunseung Cha · Changho Suh
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Poster
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Tue 7:45
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Hessian-based Analysis of Large Batch Training and Robustness to Adversaries
Zhewei Yao · Amir Gholami · Qi Lei · Kurt Keutzer · Michael Mahoney
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Poster
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Thu 14:00
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Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport
Theo Lacombe · Marco Cuturi · Steve OUDOT
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