001 Reflected diffusion, no-flux continuity equations and confined Lagrangian flows in bounded domains arXiv Paper Rama Cont Yesterday 002 Strategies for Milestone-driven Start-ups in Multi-activity Settings arXiv Paper Zhengli Wang Yesterday 003 Windowed thinning and query complexity for the bouncy particle and Zigzag samplers arXiv Paper Jianfeng Lu et al. Yesterday 004 Expected Survival-Time Bounds for Robust Optimization Over Time under Isotropic Gaussian Dynamics arXiv Paper Pavel Novoa-Hernández 2 days ago 005 On the robustness of noisy solutions in non-convex neural networks arXiv Paper Enrico M. Malatesta, A. Passalacqua et al. 2 days ago 006 The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ arXiv Paper Apratim Dey 4 days ago 007 On the Order-Conditional Optimality of Gaffke's Bound arXiv Paper G. Bissias, E. Learned-Miller 6 days ago 008 Mirror Langevin diffusions: Convergence rates and Markov chain approximations arXiv Paper Benjamin Capdeville, Young-Heon Kim et al. 7 days ago 009 Self-Balancing Sequential Sampling: Fast Convergence with Controlled Predictability arXiv Paper Z. McNulty, Daniel Raban Jul 23 010 High Minima of Gaussian Processes: Overshoots and Minimizer Locations arXiv Paper E. Hashorva, Svyatoslav Novikov Jul 22 011 A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling arXiv Paper Eric Gyamfi, E. Kang et al. Jul 21 012 One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold arXiv Paper Linjun Li Jul 20 013 The Dimension of Nonterminating Resampling Computations arXiv Paper Yunbei Xu Jul 20 014 Dropout and Random Gradient Masking Are Asymptotically Equivalent in Large ResNets arXiv Paper Javier Maass, L'enaic Chizat Jul 18 015 FST.ai 2.5: Explainable and Uncertainty-Aware AI for Olympic and Para-Taekwondo Decision Support, Athlete Digital Twins, and Federation-Scale Analytics arXiv Paper Keivan K1 Shariatmadar, Ahmad Osman et al. Jul 18 016 The Value of Depth in Message Passing on Sparse Graphs: A Kesten-Stigum Dichotomy arXiv Paper Aseem Baranwal Jul 18 017 Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial depth estimator arXiv Paper Felix Gnettner, Hye-Eun Yeon et al. Jul 17 018 Scaling Limits of Constant-Stepsize SGD at Flat Minima arXiv Paper Jingyi Zhang, Cheng Mao et al. Jul 17 019 Causal Inference for Sequential Settings under Interference and Latent Confounding arXiv Paper Phevos Paschalidis, Constantinos Daskalakis et al. Jul 16 020 Delocalization of bias in unadjusted Hamiltonian Monte Carlo and underdamped Langevin arXiv Paper Yifan Chen, Xiaoou Cheng et al. Jul 16 021 Diffusion models recover accurate mixture weights despite score function insensitivity arXiv Paper Andrew Dennehy, Ramchandran Muthukumar et al. Jul 16 022 Precise sample covariance spectral norm error -- an RDT view arXiv Paper M. Stojnic Jul 16 023 NeuralChaos: Optimal Adapted Approximation of Square Integrable Predictable Processes arXiv Paper Anastasis Kratsios, Giulia Livieri et al. Jul 15 024 Spectral Concentration and Recovery in Sparse High-Dimensional Random Geometric Graphs arXiv Paper V. ManuelFernandez, Yizhe Zhu Jul 15 025 Accelerated Mixing Time of Randomized Hamiltonian Monte Carlo arXiv Paper Siddharth Mitra, Vishwak Srinivasan et al. Jul 14 026 Rough Path Signature-Guided Geometry Augmentation for Few-Shot Industrial Surface Defect Detection arXiv Paper Jiaqi Kuang Jul 14 027 Mathematics of Data Science arXiv Paper A. Bandeira, Amit Singer et al. Jul 11 028 High-Dimensional Interpolators Can Be Fragile: Heavy Tails and High-Dimensional Large Deviations arXiv Paper Youheng Zhu et al. Jul 10 029 Score Accuracy Along the Forward Diffusion Does Not Certify Numerical Stability in Diffusion Sampling arXiv Paper Yiwei Zhou Jul 9 030 A law of robustness for two-layer neural networks with arbitrary weights arXiv Paper Yitzchak Shmalo Jul 8 031 Any-Dimensional Learning by Sampling arXiv Paper Eitan Levin, V. Chandrasekaran Jul 8 032 Local large deviations for linear-region growth in random piecewise-linear networks arXiv Paper Recep Özkan et al. Jul 8 033 A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems arXiv Paper Fabian Schneider, T. Helin et al. Jul 7 034 Fast determinantal sampling on general spaces and diffusion geometry arXiv Paper Hoang-Son Tran, Pranav Gupta et al. Jul 7 035 Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning arXiv Paper Yao Fu, Chunxia Zhang et al. Jul 7 036 Quantitative Gaussian-Process limits of Tensor Programs arXiv Paper Andrea Agazzi, Eloy Mósig García et al. Jul 7 037 Causal-RetiGraph: Cross-Cohort Retinal Support and Same-Subject Pathway Analysis for Diabetic Retinopathy arXiv Paper Inam Ullah et al. Jul 6 038 The Exact Worst-Case Tail Probability under Bounded Kurtosis arXiv Paper Xiaoyu Li et al. Jul 6 039 Boundary-layer asymptotics for Gaussian-smoothed singular measures arXiv Paper N. Brosse, A. Dalalyan Jul 5 040 An AI-Assisted Solution to the Signed BAR Conjecture: Uniqueness in the Harrison--Reiman Class and a Completely-$\mathcal{S}$ Class Obstruction arXiv Paper Yiping Lu, Youheng Zhu Jul 3 041 A Mathematical Introduction to Diffusion Models arXiv Paper Jianfeng Lu Jul 2 042 All-out Attack: Optimal Block Withholding Under Pay-Per-Share Scheme arXiv Paper Mustafa Doger, S. Ulukus Jul 1 043 Mean Field Reinforcement Learning arXiv Paper René Carmona, Mathieu Laurière Jul 1 044 Optimal scaling of MCMC algorithms: the Hamiltonian approach arXiv Paper P. Dobson, J. Sanz-Serna et al. Jul 1 045 Homogenization of $\ell_2$-Adversarial Training in High-Dimensions: Exact Dynamics under Stochastic Gradient Descent arXiv Paper Fabrizzio Sabelli Jun 30 046 Probabilistic Inversion with Flow Matching arXiv Paper Baldur Paulwitz, Stefan Buske Jun 30 047 Uniform-in-time Propagation-of-Chaos for Stein Variational Gradient Descent arXiv Paper Krishnakumar Balasubramanian et al. Jun 30 048 Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets arXiv Paper Vinay Kulkarni, V. V. Reddy Jun 30 049 A Stationary-Distribution Theory for Triplet-Based Plateau Search in Random Forest Ensemble-Size Selection arXiv Paper Andrey A. Dukhovny, A. Lange Jun 29 050 Data-Driven Energy-Based Learning via Gibbs Measures on Hierarchical Structures arXiv Paper L. Abdullaev, F. Herrera et al. Jun 29 051 Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product arXiv Paper Mufan Li et al. Jun 29 052 Propagation of~Interval Belief Structures and~Imprecise Copulas for~Neural Network Verification arXiv Paper Francesc Pifarre-Esquerda, É. Goubault et al. Jun 29 053 RoPoLL: Robust Panel of LLM Judges arXiv Paper Anish Acharya, Kris W Pan et al. Jun 29 054 Variance Reduction for Stochastic Gradient Generalized Non-reversible Langevin Monte Carlo Algorithms arXiv Paper Bingye Ni, Xiaoyu Wang et al. Jun 27 055 VGB for Masked Diffusion Model: Efficient Test-time Scaling for Reward Satisfaction and Sample Editing arXiv Paper Ki-Wan Jeon, T. Vuong et al. Jun 26 056 Value of Information under Imprecise Probabilities: Decision-Rule-Specific Values and Fixed-Measure Envelopes on a Credal Set arXiv Paper R. Iskandar Jun 26 057 All you need is log arXiv Paper Akshay Balsubramani Jun 25 058 A functional central limit theorem for kernel gradient flow and infinitesimal gradient boosting arXiv Paper C. Dombry, Jean-Jil Duchamps Jun 24 059 Deep numerical schemes for systems of Ergodic BSDEs with applications to regime-switching forward utilities arXiv Paper Guillaume Broux-Quemerais, Sarah Kaakai et al. Jun 23 060 History estimation in random recursive trees: Pointwise approach via iterated Jordan centralities arXiv Paper Johannes Bäumler et al. Jun 23