Stochastic Processes
2,948 papers
Papers per year
4
1
2
9
11
17
18
30
36
37
50
56
60
77
132
163
224
258
329
310
410
387
253
74
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Papers
Online Bootstrap Confidence Intervals for the Stochastic Gradient Descent Estimator
JMLR 2018
Online Deep Learning: Learning Deep Neural Networks on the Fly
IJCAI 2018
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting
NeurIPS 2018
On Markov Chain Gradient Descent
NeurIPS 2018
On Q-learning Convergence for Non-Markov Decision Processes
IJCAI 2018
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization
IJCAI 2018
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo
ICML 2018
On Truly Block Eigensolvers via Riemannian Optimization
AISTATS 2018
Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods
ICML 2018
PCA of high dimensional random walks with comparison to neural network training
NeurIPS 2018
Phonological Posterior Hashing for Query by Example Spoken Term Detection
Interspeech 2018
Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model
MLHC 2018
Probabilistic Recurrent State-Space Models
ICML 2018
Product Kernel Interpolation for Scalable Gaussian Processes
AISTATS 2018
Quasi-Monte Carlo Variational Inference
ICML 2018
RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials
CVPR 2018
Reconstructing Neutral Speech from Tracheoesophageal Speech
Interspeech 2018
Reinforced Extractive Summarization with Question-Focused Rewards
ACL 2018
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning
ACL 2018
Reparameterization Gradient for Non-differentiable Models
NeurIPS 2018
Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint
CVPR 2018
Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback
ICLR 2018
Semiparametric Contextual Bandits
ICML 2018
Sensitivity to Input Order: Evaluation of an Incremental and Memory-Limited Bayesian Cross-Situational Word Learning Model
COLING 2018
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD
AISTATS 2018