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.

Statistical Learning with Sublinear Regret of Propagator Models Eyal Neuman and Yufei Zhang
Non-Linear Conductances of Galton-Watson Trees and Application to the (Near) Critical Random Cluster Model Irene Ayuso Ventura and Quentin Berger
Condensation in Scale-Free Geometric Graphs with Excess Edges Remco van der Hofstad, Pim van der Hoorn, Céline Kerriou, Neeladri Maitra, and Peter Mörters
Exponential Inequalities and Laws of the Iterated Logarithm for Multiple Poisson–Wiener Integrals and Poisson $U$-Statistics Radosław Adamczak and Dominik Kutek
A note on the long time behaviour of stochastic McKean-Vlasov equations with common noise Raphaël Maillet
On the robustness of semi-discrete optimal transport Davy Paindaveine and Riccardo Passeggeri
Fluctuations in random field Ising models Seunghyun Lee, Nabarun Deb and Sumit Mukherjee
On the First Passage Times of Branching Random Walks in $\mathbb{R}^d$ Jose Blanchet, Wei Cai, Shaswat Mohanty and Zhenyuan Zhang
A G-BSDE approach to the long-term decomposition of robust pricing kernels Jaehyun Kim and Hyungbin Park
A remarkable example on clustering of extremes for regularly-varying stochastic processes Shuyang Bai, Rafal Kulik and Yizao Wang
Simulation of infinite-dimensional diffusion bridges Thorben Pieper-Sethmacher, Frank van der Meulen, and Aad van der Vaart
Randomisation with moral hazard: a path to existence of optimal contracts Daniel Kršek and Dylan Possamaï
Optimal subgraphs in geometric scale-free random graphs Riccardo Michielan
Error estimates between SGD with momentum and underdamped Langevin diffusion Arnaud Guillin, Yu Wang, Lihu Xu and Haoran Yang
Cutoff for Mixtures of Permuted Markov Chains: Reversible Case Bastien Dubail
Rearranged Stochastic Heat Equation: Ergodicity and Related Gradient Descent on ${\mathcal P}({\mathbb R})$ François Delarue and William Richard Philip Hammersley
Convergence and stationary distribution of Elo rating systems Roberto Cortez and Hagop Tossounian
Optimal recovery of correlated Erdős–Rényi graphs Hang Du
Synchronization by noise for traveling pulses Christian Kuehn and Joris van Winden
An extended variational setting for critical SPDEs with Lévy noise Sebastian Bechtel, Fabian Germ and Mark Veraar
The Gapeev-Shiryaev Conjecture Philip Ernst and Goran Peskir
The two square root laws of market impact and the role of sophisticated market participants Bruno Durin, Mathieu Rosenbaum and Grégoire Szymanski
Long time behavior of killed Feynman-Kac semigroups with singular Schrödinger potentials Boris Nectoux, Arnaud Guillin, Di Lu and Liming Wu
Aizenman-Wehr argument  for a class of disordered gradient models Simon Buchholz and Codina Cotar
Numerical simulation of Generalized Hermite Processes Antoine Ayache, Julien Hamonier and Laurent Loosveldt
On the Ziv–Merhav theorem beyond Markovianity II: leveraging the thermodynamic formalism Nicholas Barnfield, Raphaël Grondin, Gaia Pozzoli and Renaud Raquépas
From Hyper Roughness to Jumps as $H \to -1/2$ Eduardo Abi Jaber, Elie Attal and Mathieu Rosenbaum
Concentration via metastable mixing, with applications to the supercritical exponential random graph model Vilas Sreenivasan Winstein
Eigenvector decorrelation for random matrices Giorgio Cipolloni, László Erdős, Joscha Henheik and Oleksii Kolupaiev
Geometric functionals of polyconvex excursion sets of Poisson shot noise processes Vanessa Mattutat
Critical point representation of the mutual information in the sparse stochastic block model Tomas Dominguez and Jean-Christophe Mourrat
Large deviations of SLE(0+) variants in the capacity parameterization Eveliina Peltola and Osama Abuzaid
Conditioning of Banach Space Valued Gaussian Random Variables: An Approximation Approach Based on Martingales Ingo Steinwart
The level of self-organized criticality in oscillating Brownian motion: n-consistency and stable Poisson-type convergence of the MLE Johannes Brutsche and Angelika Rohde
Variational Inequalities and Smooth-Fit Principle for Singular Stochastic Control Problems in Hilbert Spaces Salvatore Federico, Giorgio Ferrari, Frank Riedel and Michael Roeckner
Fluctuation bounds for symmetric random walks on dynamic environments via Russo-Seymour-Welsh Rangel Baldasso, Marcelo Hilário, Daniel Kious and Augusto Teixeira
Limit Laws for Critical Dispersion on Complete Graphs Umberto De Ambroggio, Tamas Makai, Konstantinos Panagiotou and Annika Steibel
Tightness for branching random walk in a space-inhomogeneous random environment Xaver Kriechbaum
Gibbs Measures with Multilinear Forms Sohom Bhattacharya, Nabarun Deb and Sumit Mukherjee
Monotonicity, Topology, and Convexity of Recurrence in Random Walks Rupert Li, Elchanan Mossel and Benjamin Weiss
Asymptotic stability and cut-off phenomenon for the underdamped Langevin dynamics Mouad Ramil, Insuk Seo and Seungwoo Lee
Critical first passage percolation on random graphs Shankar Bhamidi, Rick Durrett and Xiangying Huang
An infinite-times renewal equation Xu’an Dou, Benoît Perthame, Chenjiayue Qi, Delphine Salort and Zhennan Zhou
Functional Central Limit Theorem for topological functionals of Gaussian critical points Christian Hirsch and Raphaël Lachièze-Rey
Universality for the global spectrum of random inner-product kernel matrices in the polynomial regime Benjamin McKenna, Sofiia Dubova, Yue M. Lu and Horng-Tzer Yau
Compressibility and Stochastic Stability of Monotone Markov Chains Sergey Foss and Michael Scheutzow
Topological complexity of spiked random polynomials and finite-rank spherical integrals Vanessa Piccolo
Existence and uniqueness of Dirichlet form on sub-Sierpinski gasket with random symmetry Tianjia Ni
Piecewise Temperleyan dimers and a multiple SLE_8 Nathanaël Berestycki and Mingchang Liu
Zero-one Laws for a Control Problem with Random Action Sets János Flesch, Arkadi Predtetchinski, William D Sudderth and Xavier Venel
Adaptive multilevel stochastic approximation of the value-at-risk Noufel Frikha
Asymptotic error distribution of accelerated exponential Euler method for parabolic SPDEs Jialin Hong, Diancong Jin, Xu Wang and Guanlin Yang
Sharp oracle inequalities and universality of the AIC and FPE Moritz Jirak and Georg Köstenberger
Local Optimality of Dictator Functions with Applications to Courtade–Kumar and Li–Médard Conjectures Lei Yu
Fractal and Regular Geometry of Deep Neural Networks Simmaco Di Lillo, Domenico Marinucci, Michele Salvi and Stefano Vigogna
Monotonicity and decompositions of random regular graphs Lawrence Hollom, Lyuben Lichev, Adva Mond, Julien Portier and Yiting Wang
A proof of the changepoint detection threshold conjecture in preferential attachment models Hang Du, Shuyang Gong and Jiaming Xu
Layered Hill estimator for extreme data in clusters Takashi Owada and Taegyu Kang
Locality properties for discrete and continuum Widom–Rowlinson models in random environments Benedikt Jahnel, Christof Külske and Alexander Zass
Quantitative contraction rates for Sinkhorn’s algorithm: beyond bounded costs and compact marginals Giovanni Conforti, Alain Durmus and Giacomo Greco
Random Spanning Trees in Random Environment Luca Makowiec, Michele Salvi and Rongfeng Sun
Landau-Lifshitz-Navier-Stokes Equations: Large Deviations and Relationship to The Energy Equality Benjamin Gess, Daniel Heydecker and Zhengyan Wu
Quantitative bounds for high-dimensional non-linear functionals of Gaussian processes David Kramer-Bang and Andreas Basse-O’Connor
Concentration and fluctuation phenomena in the localized phase of the pinning model Giambattista Giacomin and Marco Zamparo
How does the supercritical GMC converge? Federico Bertacco and Martin Hairer
Exponential growth of random infinite Fibonacci sequences Ilya Goldsheid and Ofer Zeitouni
Universality of Empirical Risk Minimization Andrea Montanari and Basil Saeed
Generalized Front Propagation for Spatial Stochastic Population Models Thomas Hughes and Jessica Lin
Phase Transitions in Planted k-Factor Recovery Julia Gaudio, Colin Sandon, Jiaming Xu and Dana Yang
Averaging principle and normal deviation for multi-scale SDEs with polynomial nonlinearity Mengyu Cheng, Zhenxin Liu and Michael Röckner
Mean-field control problems with multi-dimensional singular controls Ulrich Horst and Robert Denkert
Wide Deep Neural Networks with Gaussian Weights are Very Close to Gaussian Processes Dario Trevisan
Spatiotemporal Hawkes processes with a graphon-induced connectivity structure Justin R. Baars, Roger J. A. Laeven and Michel R. H. Mandjes
Ferromagnetic Ising model on multiregular random graphs Diego Alberici, Pierluigi Contucci, Emanuele Mingione and Filippo Zimmaro
Path-dependent processes from signatures Eduardo Abi Jaber, Louis-Amand Gérard and Yuxing Huang
The supercooled Stefan problem with transport noise: weak solutions and blow-up Andreas Sojmark and Sean Ledger
Exact Label Recovery in Euclidean Random Graphs Julia Gaudio, Charlie Guan, Xiaochun Niu and Ermin Wei
Law of iterated logarithm for supercritical non-symmetric branching Markov process Yan-Xia Ren
Gaussian fluctuations for spin systems and point processes: near-optimal rates via quantitative Marcinkiewicz’s theorem Tien-Cuong Dinh, Subhroshekhar Ghosh, Hoang-Son Tran and Manh-Hung Tran
Bifurcation theory of quasi-diffusive perturbations of dynamical systems and density-dependent Markov chains Eric Thomas Foxall
Rough volatility, path-dependent PDEs and weak rates of convergence Ofelia Bonesini, Antoine Jacquier and Alexandre Pannier
Efficient Concentration with Gaussian Approximation Morgane Austern and Lester Mackey
On the spatio-temporal increments of nonlinear parabolic SPDEs and the open KPZ equation Jingwu Hu and Cheuk Yin Lee
Universality of the local limit of preferential attachment models Rounak Ray, Remco van der Hofstad, Rajat Subhra Hazra and Alessandro Garavaglia
Central Limit Theorems for Smooth Optimal Transport Maps Tudor Manole, Sivaraman Balakrishnan, Jonathan Niles-Weed and Larry Wasserman
Limit Theorems for Stochastic Gradient Descent with Infinite Variance Jose Blanchet Blanchet, Aleksandar Mijatović and Wenhao Yang
Universal approximation property of Banach space-valued random feature models including random neural networks Ariel Neufeld and Philipp Schmocker
Cluster sizes in subcritical soft Boolean models Benedikt Jahnel, Lukas Lüchtrath and Marcel Ortgiese
Functional weak convergence of stochastic integrals for moving averages and continuous-time random walks Andreas Sojmark