Papers to Appear in Subsequent Issues

When papers are accepted for publication, they will appear below. Any changes that are made during the production process will only appear in the final version. Papers listed here are not updated during the production process and are removed once an issue is published.

Exploration-exploitation trade-off for continuous-time episodic reinforcement learning with linear-convex models Lukasz Szpruch, Tanut Treetanthiploet, and Yufei Zhang
Statistical Learning with Sublinear Regret of Propagator Models Eyal Neuman and Yufei Zhang
Separating Times for One-Dimensional General Diffusions David Criens and Mikhail Urusov
Weak Poincaré Inequalities for Markov Chains: Theory and Applications Christophe Andrieu, Anthony Lee, Sam Power and Andi Q. Wang
Zero-One Laws for Random Feasibility Problems Dylan J Altschuler
Uniform Attachment With Freezing Étienne Bellin, Arthur Blanc-Renaudie, Emmanuel Kammerer, and Igor Kortchemski
Probabilistic Approach to Heat Kernels of Schrödinger Operators With Decaying Potentials Xin Chen and Jian Wang
Non-Linear Conductances of Galton-Watson Trees and Application to the (Near) Critical Random Cluster Model Irene Ayuso Ventura and Quentin Berger
Mean Field Optimization Problem Regularized by Fisher Information Julien Claisse, Giovanni Conforti, Zhenjie Ren, and Songbo Wang
The Multicolour East Model Yannick Couzinié
Three Central Limit Theorems for the Unbounded Excursion Component of a Gaussian Field Michael McAuley
Mean Field Stochastic Partial Differential Equations with Nonlinear Kernels Wei Hong, Shihu Li, and Wei Liu
A Global Stochastic Maximum Principle for Mean-Field Forward-Backward Stochastic Control Systems with Quadratic Generators Rainer Buckdahn, Juan Li, Yanwei Li, and Yi Wang
From Rank-Based Models with Common Noise to Pathwise Entropy Solutions of SPDEs Mykhaylo Shkolnikov and Lane Chun Yeung
Stochastic Optimization on Matrices and a Graphon McKean-Vlasov Limit Zaid Harchaoui, Sewoong Oh, Soumik Pal, Raghav Somani, and Raghavendra Tripathi
Largest Entries of High-Dimensional Sample Covariance Matrix Under Autoregressive Structure: Asymptotic Theory and Phase Transition Tiefeng Jiang and Tuan Pham
Mean-Field Potts and Random-Cluster Dynamics From High-Entropy Initializations Antonio Blanca, Reza Gheissari, and Xusheng Zhang
Tagged particle fluctuations for TASEP with dynamics restricted by a moving wall Patrik Lino Ferrari and Sabrina Gernholt
Condensation in Scale-Free Geometric Graphs with Excess Edges Remco van der Hofstad, Pim van der Hoorn, Céline Kerriou, Neeladri Maitra, and Peter Mörters
Errata to ”Many-Server Asymptotics for Join-the-Shortest-Queue: Large Deviations and Rare Events” Amarjit Budhiraja, Eric Friedlander, and Ruoyu Wu
Empirical Martingale Projections via the Adapted Wasserstein Distance Johannes Wiesel, Jose Blanchet, Erica Zhang, and Zhenyuan Zhang
Free Probability, Path Developments and Signature Kernels as Universal Scaling Limits William F. Turner and Thomas Cass
Double Dimers on Planar Hyperbolic Graphs, via Circle Packing Gourab Ray
A Quantitative Robbins-Siegmund Theorem Morenikeji Neri and Thomas Powell
Attribute Network Models, Stochastic Approximation, and Network Sampling and Ranking Algorithms Nelson Antunes, Sayan Banerjee, Shankar Bhamidi, and Vladas Pipiras
Estimation and Inference for Multivariate Continuous-time Autoregressive Processes Lorenzo Lucchese, Mikko S. Pakkanen, and Almut E. D. Veraart
Characterizing the Fourth-Moment Phenomenon of Monochromatic Subgraph Counts via Influences Nitya Mani and Dan Mikulincer
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes Justin Whitehouse, Zhiwei Steven Wu, and Aaditya Ramdas
Minimum Stationary Values of Sparse Random Directed Graphs Xing Shi Cai and Guillem Perarnau
Stationary States for Stable Processes With Partial Resetting Tomasz Grzywny, Zbigniew Palmowski, Karol Szczypkowski, and Bartosz Trojan
Exponential Inequalities and Laws of the Iterated Logarithm for Multiple Poisson–Wiener Integrals and Poisson $U$-Statistics Radosław Adamczak and Dominik Kutek
Sampling Inverse Subordinators and Subdiffusions Daniel Eduardo Cedeño Giron, Ivan Biocic, and Bruno Toaldo
On the Spectral Radius and the Characteristic Polynomial of a Random Matrix with Independent Elements and a Variance Profile Michail Louvaris and Walid Hachem
Kernel Limit of Recurrent Neural Networks Trained on Ergodic Data Sequences Samuel Chun-Hei Lam, Justin Sirignano, and Konstantinos Spiliopoulos
Asymptotics for First-Passage Percolation on Logarithmic Subgraphs of Z^2 Michael Damron and Wai-Kit Lam
Losed-Loop Equilibria for Stackelberg Games: A Story About Stochastic Targets Camilo Hernández, Nicolás Hernández Santibáñez, Emma Hubert, and Dylan Possamaï
Quantitative Instability for Stochastic Scalar Reaction-Diffusion Equations Tommaso Rosati and Alexandra Blessing
The Metric Removability of Interfaces in the Directed Landscape Manan Bhatia
General Markovian Randomized Equilibrium Existence and Construction in Zero-Sum Dynkin Games for Diffusions Sören Christensen and Kristoffer Lindensjö
Uniqueness of the Solution of the Filtering Equations in Spaces of Measures Dan Crisan and Etienne Pardoux
Asymptotically Unbiased Approximation of the QSD of Diffusion Processes with a Decreasing Time Step Euler Scheme Fabien Panloup and Julien Reygner
Asymptotic Expansion of the Hard-to-Soft Edge Transition Luming Yao and Lun Zhang
Ergodicity and Mixing of Invariant Capacities and Applications Chunrong Feng, Wen Huang, Chunlin Liu, and Huaizhong Zhao
Berry-Esseen Inequality for Random Walks Conditioned to Stay Positive Denis Denisov, Alexander Tarasov, and Vitali Wachtel
Forward-Backward Stochastic Differential Equations on Tensor Fields and a Stochastic Representation of Navier-Stokes Equations on Riemannian Manifolds Xin Chen, Ana Bela Cruzeiro, Wenjie Ye, and Qi Zhang
Ergodic and Mixing Properties of the 2D Navier-Stokes Equations with a Degenerate Multiplicative Gaussian Noise Zhao Dong and Xuhui Peng
A Phase Transition in Sampling From Restricted Boltzmann Machines Youngwoo Kwon, Qian Qin, Guanyang Wang, and Yuchen Wei
Kernel Mean Embedding Topology: Weak and Strong Forms for Stochastic Kernels and Implications for Model Learning Naci Saldi and Serdar Yuksel
Strong Existence and Uniqueness for Singular SDEs Driven by Stable Processes Leonid Mytnik and Johanna Weinberger
A localisation phase transition for the catalytic branching random walk Cécile Mailler and Bruno Schapira
On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers Samuel Gruffaz, Alain Durmus, Miika Kailas, Eero Saksman and Matti Vihola
Mixed Markov-Perfect Equilibria in the Continuous-Time War of Attrition Fabien Gensbittel, Jean-Paul Décamps and Thomas Mariotti
A general partial Cramer’s condition for Edgeworth expansion of a function of sample means with applications Yashi Wei, Jiang Hu and Zhidong Bai
Central limit theorem for superdiffusive reflected Brownian motion Aleksandar Mijatovic, Isao Sauzedde and Andrew Wade
Consistency of MLE in partially observed diffusion models on a torus Ibrahim Ekren and Sergey Nadtochiy
Sharper analysis of the random graph $d$-process via a balls-in-bins model Andrzej Ruciński and Nick Wormald
The asymptotic behavior of fraudulent algorithms Laurent Miclo and Michel Benaïm
Loewner Theory for Bernstein functions II: applications to inhomogeneous continuous-state branching processes Pavel Gumenyuk, Takahiro Hasebe and José-Luis Pérez
Empirical Bernstein in smooth Banach spaces Diego Martinez-Taboada and Aaditya Ramdas
Foundations of bare-simulation optimization of distances Michel Broniatowski and Wolfgang Stummer
Up-down ordered Chinese restaurant processes with two-sided immigration, emigration and diffusion limits Quan Shi and Matthias Winkel
Downward conditional monotonicity gives survival and extinction for contact processes in random environments Joseph Patrick Stover
Uniform-in-time weak propagation of chaos for consensus-based optimization Erhan Bayraktar, Ibrahim Ekren and Hongyi Zhou
Intersections of branching random walks on $\mathbb{Z}^8$ Zsuzsanna Baran
A note on the long time behaviour of stochastic McKean-Vlasov equations with common noise Raphaël Maillet
Functional Central Limit Theorem for the principal eigenvalue of dynamic Erdős-Rényi random graphs Rajat Subhra Hazra, Nikolai Kriukov and Michel Mandjes
On the robustness of semi-discrete optimal transport Davy Paindaveine and Riccardo Passeggeri
Quantitative equilibrium fluctuations for interacting particle systems Chenlin Gu, Jean-Christophe Mourrat and Maximilian Nitzschner