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Poster
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Mon 18:30
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Stochastic Submodular Maximization: The Case of Coverage Functions
Mohammad Karimi · Mario Lucic · Hamed Hassani · Andreas Krause
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Poster
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Tue 18:30
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Regret Analysis for Continuous Dueling Bandit
Wataru Kumagai
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Poster
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Tue 18:30
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Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter
Yi Xu · Qihang Lin · Tianbao Yang
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Poster
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Tue 18:30
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Nonlinear Acceleration of Stochastic Algorithms
Damien Scieur · Francis Bach · Alexandre d'Aspremont
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Poster
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Wed 18:30
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Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
Geoffrey Roeder · Yuhuai Wu · David Duvenaud
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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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Tue 18:30
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Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent
Peva Blanchard · El Mahdi El-Mhamdi · Rachid Guerraoui · Julien Stainer
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Poster
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Mon 18:30
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Collapsed variational Bayes for Markov jump processes
Boqian Zhang · Jiangwei Pan · Vinayak Rao
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Poster
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Mon 18:30
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Task-based End-to-end Model Learning in Stochastic Optimization
Priya Donti · J. Zico Kolter · Brandon Amos
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Poster
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Wed 18:30
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TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
Wei Wen · Cong Xu · Feng Yan · Chunpeng Wu · Yandan Wang · Yiran Chen · Hai Li
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Poster
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Tue 18:30
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Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization
Tomoya Murata · Taiji Suzuki
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Poster
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Mon 18:30
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A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks
Qinliang Su · xuejun Liao · Lawrence Carin
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