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Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions AISTATS 2015
The Hedge Algorithm on a Continuum ICML 2015
Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent RSS 2015
Adaptive Hashing for Fast Similarity Search ICCV 2015
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NIPS 2015
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients NIPS 2015
Submodular Point Processes with Applications to Machine learning AISTATS 2015
Particle Gibbs with Ancestor Sampling for Probabilistic Programs AISTATS 2015
Finite-Time Analysis of Projected Langevin Monte Carlo NIPS 2015
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk NIPS 2015
Stochastic Structured Variational Inference AISTATS 2015
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NIPS 2015
Learning Fast-Mixing Models for Structured Prediction ICML 2015
On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments ICML 2015
A second-order bound with excess losses COLT 2014
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning NIPS 2014
Follow the Leader If You Can, Hedge If You Must JMLR 2014
Black Box Variational Inference AISTATS 2014
Stochastic Regret Minimization via Thompson Sampling COLT 2014
Asynchronous Anytime Sequential Monte Carlo NIPS 2014
Projecting Markov Random Field Parameters for Fast Mixing NIPS 2014
Sequential Monte Carlo for Graphical Models NIPS 2014
Stochastic Proximal Gradient Descent with Acceleration Techniques NIPS 2014
Scaling-up Importance Sampling for Markov Logic Networks NIPS 2014
From Stochastic Mixability to Fast Rates NIPS 2014