Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Stochastic Methods
1077 directly classified papers
Papers per year
2005: 2
2006: 5
2007: 7
2008: 12
2009: 6
2010: 18
2011: 18
2012: 29
2013: 28
2014: 38
2015: 33
2016: 37
2017: 44
2018: 58
2019: 78
2020: 102
2021: 117
2022: 126
2023: 117
2024: 156
2025: 43
2026: 3
Papers
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm
NIPS 2014
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions
NIPS 2014
Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning
NIPS 2014
Adaptive Monte Carlo via Bandit Allocation
ICML 2014
Stereo under Sequential Optimal Sampling: A Statistical Analysis Framework for Search Space Reduction
CVPR 2014
Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs
AISTATS 2014
Color Transfer Using Probabilistic Moving Least Squares
CVPR 2014
Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction
CVPR 2014
Adaptivity of Averaged Stochastic Gradient Descent to Local Strong Convexity for Logistic Regression
JMLR 2014
Fast Sampling-Based Inference in Balanced Neuronal Networks
NIPS 2014
Smoothed Gradients for Stochastic Variational Inference
NIPS 2014
Bayesian Sampling Using Stochastic Gradient Thermostats
NIPS 2014
A Filtering Approach to Stochastic Variational Inference
NIPS 2014
Distributed Stochastic Gradient MCMC
ICML 2014
Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices
ICML 2014
Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers
ICML 2014
Higher-Order Regret Bounds with Switching Costs
COLT 2014
Logistic Regression: Tight Bounds for Stochastic and Online Optimization
COLT 2014
Community Detection via Random and Adaptive Sampling
COLT 2014
Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo
ACML 2014
Polya-gamma augmentations for factor models
ACML 2014
An Accelerated Proximal Coordinate Gradient Method
NIPS 2014
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition
NIPS 2014
Kernel Adaptive Metropolis-Hastings
ICML 2014
Gaussian Approximation of Collective Graphical Models
ICML 2014
<
1
…
37
38
39
…
44
>