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Poster
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Wed 18:30
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Learning Mixture of Gaussians with Streaming Data
Aditi Raghunathan · Prateek Jain · Ravishankar Krishnawamy
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Poster
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Wed 18:30
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Zap Q-Learning
Adithya M Devraj · Sean Meyn
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Poster
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Mon 18:30
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Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data
Stéphanie ALLASSONNIERE · Juliette Chevallier · Stephane Oudard
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Poster
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Wed 18:30
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Adaptive Bayesian Sampling with Monte Carlo EM
Anirban Roychowdhury · Srinivasan Parthasarathy
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Poster
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Mon 18:30
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First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization
Aryan Mokhtari · Alejandro Ribeiro
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Poster
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Tue 18:30
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Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers
Cong Fang · Feng Cheng · Zhouchen Lin
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Poster
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Tue 18:30
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QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
Dan Alistarh · Demjan Grubic · Jerry Li · Ryota Tomioka · Milan Vojnovic
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Poster
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Wed 18:30
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Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
Fabian Pedregosa · Rémi Leblond · Simon Lacoste-Julien
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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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The Scaling Limit of High-Dimensional Online Independent Component Analysis
Chuang Wang · Yue Lu
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Poster
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Wed 18:30
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Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex
Chaobing Song · Shaobo Cui · Yong Jiang · Shu-Tao Xia
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Poster
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Mon 18:30
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Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
Ahmet Alacaoglu · Quoc Tran Dinh · Olivier Fercoq · Volkan Cevher
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