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Stochastic Processes

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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