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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Improved Random Features for Dot Product Kernels JMLR 2024
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training NIPS 2024
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NIPS 2024
ptwt - The PyTorch Wavelet Toolbox JMLR 2024
MFT: Long-Term Tracking of Every Pixel WACV 2024
Memory of recurrent networks: Do we compute it right? JMLR 2024
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions NIPS 2024
Infinite-Dimensional Diffusion Models JMLR 2024
Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss NIPS 2024
Exploring the Learning Capabilities of Language Models using LEVERWORLDS EMNLP 2024
Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case JMLR 2024
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NIPS 2024
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm AISTATS 2024
Sample Efficient Learning of Factored Embeddings of Tensor Fields AISTATS 2024
Coreset Markov chain Monte Carlo AISTATS 2024
Probabilistic Modeling for Sequences of Sets in Continuous-Time AISTATS 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles AISTATS 2024
Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks AISTATS 2024
Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions AISTATS 2024
Auto-BPA: An Enhanced Ball-Pivoting Algorithm With Adaptive Radius Using Contextual Bandits WACV 2024
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024
From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance AISTATS 2024
Characterizing the Confidence of Large Language Model-Based Automatic Evaluation Metrics EACL 2024
Learning multivariate temporal point processes via the time-change theorem AISTATS 2024