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Stochastic Methods

2,788 papers

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Papers

Local Smoothness in Variance Reduced Optimization NIPS 2015
Extending Gossip Algorithms to Distributed Estimation of U-statistics NIPS 2015
Convergence rates of sub-sampled Newton methods NIPS 2015
Revenue Optimization against Strategic Buyers NIPS 2015
Convergence Analysis of Prediction Markets via Randomized Subspace Descent NIPS 2015
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NIPS 2015
Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path NIPS 2015
Probabilistic Line Searches for Stochastic Optimization NIPS 2015
Reflection, Refraction, and Hamiltonian Monte Carlo NIPS 2015
Linear Multi-Resource Allocation with Semi-Bandit Feedback NIPS 2015
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NIPS 2015
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees NIPS 2015
Beyond Convexity: Stochastic Quasi-Convex Optimization NIPS 2015
Copeland Dueling Bandits NIPS 2015
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NIPS 2015
A Complete Recipe for Stochastic Gradient MCMC NIPS 2015
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference NIPS 2015
StopWasting My Gradients: Practical SVRG NIPS 2015
Black-box optimization of noisy functions with unknown smoothness NIPS 2015
Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care NIPS 2015
Online Prediction at the Limit of Zero Temperature NIPS 2015
Column Selection via Adaptive Sampling NIPS 2015
Human Memory Search as Initial-Visit Emitting Random Walk NIPS 2015
Adaptive Stochastic Optimization: From Sets to Paths NIPS 2015
Variational Consensus Monte Carlo NIPS 2015