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
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization
NeurIPS 2018
Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods
AISTATS 2018
Transformation Autoregressive Networks
ICML 2018
Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems
JMLR 2018
Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling
IJCAI 2018
Video Prediction via Selective Sampling
NeurIPS 2018
Weighted SGD for ℓ_p Regression with Randomized Preconditioning
JMLR 2018
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates
NeurIPS 2018
A Birth-Death Process for Feature Allocation
ICML 2017
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization
IJCAI 2017
Adaptive Sampling Probabilities for Non-Smooth Optimization
ICML 2017
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering
NeurIPS 2017
A Distributional Perspective on Reinforcement Learning
ICML 2017
A Fast Stochastic Contact Model for Planar Pushing and Grasping: Theory and Experimental Validation
RSS 2017
A Functional Dynamic Boltzmann Machine
IJCAI 2017
Algorithmic Stability and Hypothesis Complexity
ICML 2017
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings
ACML 2017
An Alternative Softmax Operator for Reinforcement Learning
ICML 2017
A-NICE-MC: Adversarial Training for MCMC
NeurIPS 2017
An Investigation of Emotion Dynamics and Kalman Filtering for Speech-Based Emotion Prediction
Interspeech 2017
Annular Augmentation Sampling
AISTATS 2017
A Robust Noise Resistant Algorithm for POI Identification from Flickr Data
IJCAI 2017
A Scale Free Algorithm for Stochastic Bandits with Bounded Kurtosis
NeurIPS 2017
Automated Inference with Adaptive Batches
AISTATS 2017
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
ICML 2017