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Stochastic Processes

2667 directly classified papers

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Papers

Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition ICML 2022
Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum L4DC 2022
Free Probability for predicting the performance of feed-forward fully connected neural networks NIPS 2022
The alignment property of SGD noise and how it helps select flat minima: A stability analysis NIPS 2022
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms NIPS 2022
Surprising Instabilities in Training Deep Networks and a Theoretical Analysis NIPS 2022
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks NIPS 2022
A Continuous Time Framework for Discrete Denoising Models NIPS 2022
On the generalization of learning algorithms that do not converge NIPS 2022
A time-resolved theory of information encoding in recurrent neural networks NIPS 2022
Fixed-Distance Hamiltonian Monte Carlo NIPS 2022
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost NIPS 2022
Improved Utility Analysis of Private CountSketch NIPS 2022
A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning NIPS 2022
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data NIPS 2022
Seizing Critical Learning Periods in Federated Learning AAAI 2022
Online Missing Value Imputation and Change Point Detection with the Gaussian Copula AAAI 2022
Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations AAAI 2022
Risk-Aware Stochastic Shortest Path AAAI 2022
Learning Expected Emphatic Traces for Deep RL AAAI 2022
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models ACL 2022
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations ACL 2022
WeaNF”:" Weak Supervision with Normalizing Flows ACL 2022
Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning NIPS 2022
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo NIPS 2022