Stochastic Processes
2,948 papers
Papers per year
4
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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
Monte Carlo Gradient Estimation in Machine Learning
JMLR 2020
Multiplicative Gaussian Particle Filter
AISTATS 2020
Multi-Speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network
Interspeech 2020
Neural Dialogue State Tracking with Temporally Expressive Networks
EMNLP 2020
Neural Generation of Dialogue Response Timings
ACL 2020
Neural Tangents: Fast and Easy Infinite Neural Networks in Python
ICLR 2020
Neural Temporal Opinion Modelling for Opinion Prediction on Twitter
ACL 2020
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
ICML 2020
“None of the Above”: Measure Uncertainty in Dialog Response Retrieval
ACL 2020
Non-Stationary Delayed Bandits with Intermediate Observations
ICML 2020
Observe Before Play: Multi-Armed Bandit with Pre-Observations
AAAI 2020
On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration
COLT 2020
Online Learning for Active Cache Synchronization
ICML 2020
Online Learning with Dependent Stochastic Feedback Graphs
ICML 2020
Online matrix factorization for Markovian data and applications to Network Dictionary Learning
JMLR 2020
Online Multi-Kernel Learning with Graph-Structured Feedback
ICML 2020
Online Robust Regression via SGD on the l1 loss
NeurIPS 2020
On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics
JMLR 2020
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems
NeurIPS 2020
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
AAAI 2020
On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms
JMLR 2020
On the Generalization Benefit of Noise in Stochastic Gradient Descent
ICML 2020
On the interplay between noise and curvature and its effect on optimization and generalization
AISTATS 2020
On the Noisy Gradient Descent that Generalizes as SGD
ICML 2020
On the Power of Louvain in the Stochastic Block Model
NeurIPS 2020