Stochastic Processes
2,948 papers
Papers per year
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77
132
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Papers
Self-Adaptable Point Processes with Nonparametric Time Decays
NeurIPS 2021
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting
AISTATS 2021
Shape Matters: Understanding the Implicit Bias of the Noise Covariance
COLT 2021
Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet
AAAI 2021
SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method
IJCAI 2021
Signatured Deep Fictitious Play for Mean Field Games with Common Noise
ICML 2021
Simple induction of (deterministic) probabilistic finite-state automata for phonotactics by stochastic gradient descent
ACL 2021
Sliced Kernelized Stein Discrepancy
ICLR 2021
SMD-Nets: Stereo Mixture Density Networks
CVPR 2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
ICML 2021
Sparse Algorithms for Markovian Gaussian Processes
AISTATS 2021
Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations
AISTATS 2021
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning
IJCAI 2021
SPECTRE: defending against backdoor attacks using robust statistics
ICML 2021
SSMF: Shifting Seasonal Matrix Factorization
NeurIPS 2021
Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss
AISTATS 2021
Stability and Generalization of Decentralized Stochastic Gradient Descent
AAAI 2021
Stochastic Approximation for Online Tensorial Independent Component Analysis
COLT 2021
Stochastic Bandits with Graph Feedback in Non-Stationary Environments
AAAI 2021
Stochastic continuous normalizing flows: training SDEs as ODEs
UAI 2021
Stochastic Gradient Descent Meets Distribution Regression
AISTATS 2021
Stochastic model for sunk cost bias
UAI 2021
Stochastic Multi-Armed Bandits with Control Variates
NeurIPS 2021
Stochastic Online Optimization using Kalman Recursion
JMLR 2021
Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees
NeurIPS 2021