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Stochastic Processes

438 papers

Papers per year

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9
29
16
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'15
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Papers

Detection of Signal in the Spiked Rectangular Models ICML 2021
Statistical Estimation from Dependent Data ICML 2021
Kernel Stein Discrepancy Descent ICML 2021
Learning Stochastic Behaviour from Aggregate Data ICML 2021
Parallel tempering on optimized paths ICML 2021
Inferring serial correlation with dynamic backgrounds ICML 2021
A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting ICML 2021
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm JMLR 2021
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler JMLR 2021
Implicit Langevin Algorithms for Sampling From Log-concave Densities JMLR 2021
Hoeffding's Inequality for General Markov Chains and Its Applications to Statistical Learning JMLR 2021
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons JMLR 2021
Stochastic Online Optimization using Kalman Recursion JMLR 2021
Probabilistic Iterative Methods for Linear Systems JMLR 2021
Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning JMLR 2021
Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples L4DC 2021
Stability and Identification of Random Asynchronous Linear Time-Invariant Systems L4DC 2021
Stable Online Control of Linear Time-Varying Systems L4DC 2021
On Testing of Samplers NIPS 2020
On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method NIPS 2020
Baxter Permutation Process NIPS 2020
A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent NIPS 2020
The Discrete Gaussian for Differential Privacy NIPS 2020
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices NIPS 2020
True Nonlinear Dynamics from Incomplete Networks AAAI 2020