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
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs
IJCAI 2020
Dynamic content based ranking
AISTATS 2020
Dynamic Control of Probabilistic Simple Temporal Networks
AAAI 2020
Efficient and robust algorithms for adversarial linear contextual bandits
COLT 2020
Efficient Estimation of Influence of a Training Instance
EMNLP 2020
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity
NeurIPS 2020
Enhancing Formant Information in Spectrographic Display of Speech
Interspeech 2020
Escaping Saddle Points Faster with Stochastic Momentum
ICLR 2020
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
ICLR 2020
Estimating Mutual Information Between Dense Word Embeddings
ACL 2020
Estimating Training Data Influence by Tracing Gradient Descent
NeurIPS 2020
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation
AISTATS 2020
Exponential ergodicity of mirror-Langevin diffusions
NeurIPS 2020
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series
AAAI 2020
Fast and Flexible Temporal Point Processes with Triangular Maps
NeurIPS 2020
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC
NeurIPS 2020
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence
NeurIPS 2020
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients
JMLR 2020
Feature Selection using Stochastic Gates
ICML 2020
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent
ICML 2020
Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward
UAI 2020
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes
NeurIPS 2020
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise
COLT 2020
Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning
AISTATS 2020
Forecasting Sequential Data Using Consistent Koopman Autoencoders
ICML 2020