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.

The Modified MSA, a Gradient Flow and Convergence Deven Sethi and David Siska
Exploration-exploitation trade-off for continuous-time episodic reinforcement learning with linear-convex models Lukasz Szpruch, Tanut Treetanthiploet, and Yufei Zhang
Convergence of Population Processes With Small and Frequent Mutations to the Canonical Equation of Adaptive Dynamics Vincent Hass
Weak Error Estimates for Rough Volatility Models Peter K. Friz, William Salkeld, and Thomas Wagenhofer
Asymptotics for the Site Frequency Spectrum Associated With the Genealogy of a Birth and Death Process Jason Schweinsberg and Yubo Shuai
Solidarity of Gibbs Samplers: The Spectral Gap Iwona Chlebicka, Krzysztof Łatuszyński, and Blazej Miasojedow
The Critical Beta-splitting Random Tree I: Heights and Related Results David Aldous and Boris Pittel
Contractive Coupling Rates and Curvature Lower Bounds for Markov Chains Francesco Pedrotti
Approximately Optimal Distributed Stochastic Controls Beyond the Mean Field Setting Joe Jackson and Daniel Lacker
Sample-Path Large Deviation Principle for a 2-D Stochastic  Interacting Vortex Dynamics With Singular Kernel Hao Ge
Unadjusted Hamiltonian MCMC with Stratified Monte Carlo Time Integration Nawaf Bou-Rabee and Milo Marsden
$\Lambda$-Wright–Fisher Processes With General Selection and Opposing Environmental Effects: Fixation and Coexistence Fernando Cordero, Sebastian Hummel, and Grégoire Véchambre
Independence Property of the Busemann Function in Exactly Solvable KPZ models Xiao Shen
Stochastic Partial Differential Equations Arising in Self-Organized Criticality Ľubomír Baňas, Benjamin Gess, and Marius Neuß
Sharp Thresholds in Inference of Planted Subgraphs Elchanan Mossel, Jonathan Niles-Weed, Youngtak Sohn, Nike Sun, and Ilias Zadik
Rates in the Central Limit Theorem for Random Projections of Martingales Jérôme Dedecker, Florence Merlevède, and Magda Peligrad
Wilson Lines in the Lattice Higgs Model at Strong Coupling Malin Palö Forsström, Jonatan Lenells, and Fredrik Viklund
High-Dimensional Scaling Limits and Fluctuations of Online Least-Squares SGD With Smooth Covariance Krishnakumar Balasubramanian, Promit Ghosal, and Ye He
The Stochastic Primitive Equations With Non-Isothermal Turbulent Pressure Antonio Agresti, Matthias Hieber, Amru Hussein, and Martin Saal
A Regularized Kellerer Theorem in Arbitrary Dimension Gudmund Pammer , Benjamin Alexander Robinson, and Walter Schachermayer
Nonlinear Semigroups and Limit Theorems for Convex Expectations Jonas Blessing and Michael Kupper
The Effective Strength of Selection in Random Environment Adrian Gonzalez Casanova, Maite Wilke Berenguer, and Dario Spano
Structural results for the Tree Builder Random Walk Janos Englander, Giulio Iacobelli, Gábor Pete, and Rodrigo Ribeiro
Solving McKean-Vlasov SDEs via Relative Entropy Yi Han
Random Probability Measures With Fixed Mean Distributions Francesco Gaffi, Antonio Lijoi, and Igor Pruenster
Convergence of Dirichlet Forms for MCMC Optimal Scaling with Dependent Target Distributions on Large Graphs Ning Ning
The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning Vivek Borkar, Shuhang Chen, Adithya Devraj, Ioannis Kontoyiannis, and Sean Peter Meyn
The Critical Karp–Sipser Core of Random Graphs Thomas Budzinski, Alice Contat, and Nicolas Curien
Uniform Convergence of the Fleming-Viot Process in a Hard-Killing Metastable Case Lucas Journel and Pierre Monmarché
The Roughness Exponent and Its Model-Free Estimation Xiyue Han and Alexander Schied
Insight From the Kullback–Leibler Divergence Into Adaptive Importance Sampling Schemes for Rare Event Analysis in High Dimension Jason Beh, Yonatan Shadmi, and Florian Simatos
Macroscopic Diffusive Fluctuations for Generalized Hard Rods Dynamics Pablo Augusto Ferrari and Stefano Olla
Sharp Analysis on the Joint Distribution of the Number of Descents and Inverse Descents in a Random Permutation Bernard Bercu, Michel Bonnefont, Luis Fredes, and Adrien Richou
Cutoff Phenomenon in Nonlinear Recombinations Pietro Caputo, Cyril Labbe, and Hubert Lacoin