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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent NIPS 2023
Transportation-Inequalities, Lyapunov Stability and Sampling for Dynamical Systems on Continuous State Space L4DC 2023
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications JMLR 2023
Spectral Evolution and Invariance in Linear-width Neural Networks NIPS 2023
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations CORL 2023
Simultaneous Learning of Contact and Continuous Dynamics CORL 2023
Improving multiple-try Metropolis with local balancing JMLR 2023
Beyond Uniform Lipschitz Condition in Differentially Private Optimization ICML 2023
Inferring the Future by Imagining the Past NIPS 2023
Unleashing the Power of Randomization in Auditing Differentially Private ML NIPS 2023
A Continuous-time Stochastic Gradient Descent Method for Continuous Data JMLR 2023
Probabilistic Invariant Learning with Randomized Linear Classifiers NIPS 2023
Linear Stochastic Bandits over a Bit-Constrained Channel L4DC 2023
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks EACL 2023
Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning AAAI 2023
PreDiff: Precipitation Nowcasting with Latent Diffusion Models NIPS 2023
Local Message Passing on Frustrated Systems UAI 2023
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma AAAI 2023
Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits ACML 2023
Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators AAAI 2023
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation NIPS 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting NIPS 2023
Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders JMLR 2023
A Guide Through the Zoo of Biased SGD NIPS 2023
Non-adversarial training of Neural SDEs with signature kernel scores NIPS 2023