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Stochastic Methods

2788 directly classified papers

Papers per year

Papers

Probabilistic Joint Face-Skull Modelling for Facial Reconstruction CVPR 2018
Now You Shake Me: Towards Automatic 4D Cinema CVPR 2018
Learning Descriptor Networks for 3D Shape Synthesis and Analysis CVPR 2018
Learning Generative ConvNets via Multi-Grid Modeling and Sampling CVPR 2018
Exploiting Stochasticity for the Control of Transitions in Gyre Flows RSS 2018
On Nesting Monte Carlo Estimators ICML 2018
A Distributed Second-Order Algorithm You Can Trust ICML 2018
Shampoo: Preconditioned Stochastic Tensor Optimization ICML 2018
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption ICML 2018
Copa: Practical Delay-Based Congestion Control for the Internet NSDI 2018
Approximating Fair Queueing on Reconfigurable Switches NSDI 2018
On Markov Chain Gradient Descent NIPS 2018
Solving Non-smooth Constrained Programs with Lower Complexity than $\mathcal{O}(1/\varepsilon)$: A Primal-Dual Homotopy Smoothing Approach NIPS 2018
Stochastic Chebyshev Gradient Descent for Spectral Optimization NIPS 2018
Non-monotone Submodular Maximization in Exponentially Fewer Iterations NIPS 2018
Breaking the Span Assumption Yields Fast Finite-Sum Minimization NIPS 2018
Variance-Reduced Stochastic Gradient Descent on Streaming Data NIPS 2018
Do Less, Get More: Streaming Submodular Maximization with Subsampling NIPS 2018
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models NIPS 2018
Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch NIPS 2018
On Fast Leverage Score Sampling and Optimal Learning NIPS 2018
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons NIPS 2018
Contour location via entropy reduction leveraging multiple information sources NIPS 2018
Implicit Probabilistic Integrators for ODEs NIPS 2018
Graphical model inference: Sequential Monte Carlo meets deterministic approximations NIPS 2018