conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Stochastic Methods

1,118 papers

Papers per year

2
18
33
106
45
'05
'10
'15
'20
'25

Papers

Simple strategies for recovering inner products from coarsely quantized random projections NIPS 2017
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent NIPS 2017
Nonlinear Acceleration of Stochastic Algorithms NIPS 2017
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning ACL 2017
Sparse Accelerated Exponential Weights AISTATS 2017
Less than a Single Pass: Stochastically Controlled Stochastic Gradient AISTATS 2017
Linear Thompson Sampling Revisited AISTATS 2017
Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models AISTATS 2017
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines AISTATS 2017
Gradient Boosting on Stochastic Data Streams AISTATS 2017
An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits COLT 2017
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics COLT 2017
An experimental analysis of Noise-Contrastive Estimation: the noise distribution matters EACL 2017
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning ICML 2017
Measuring Sample Quality with Kernels ICML 2017
Stochastic Modified Equations and Adaptive Stochastic Gradient Algorithms ICML 2017
Improving Gibbs Sampler Scan Quality with DoGS ICML 2017
Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo ICML 2017
Evaluating the Variance of Likelihood-Ratio Gradient Estimators ICML 2017
Stochastic Gradient Monomial Gamma Sampler ICML 2017
Asynchronous Stochastic Gradient Descent with Delay Compensation ICML 2017
Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits IJCAI 2017
Stochastic Constraint Programming with And-Or Branch-and-Bound IJCAI 2017
Restart and Random Walk in Local Search for Maximum Vertex Weight Cliques with Evaluations in Clustering Aggregation IJCAI 2017
Storage Fit Learning with Unlabeled Data IJCAI 2017