001 Doubly Robust Functional Representation Learning for Longitudinal Causal Inference with Irregular Histories arXiv Paper Mengfei Ran et al. Yesterday 002 Lloyd's $K$-Means Clustering Algorithm Is Frank-Wolfe in Disguise arXiv Paper Michael Pokojovy, J. Jobe et al. 3 days ago 003 Bayesian Feature Extraction using Gaussian and Diffused-gamma Priors for High Dimensional Spatio-Temporal Data arXiv Paper Garrett Frady, D. Dey et al. 4 days ago 004 Towards Robust Reinforcement Learning for Small-Scale Language Model Agents arXiv Paper Md. Rezwanul Haque, Md. 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Jul 13 017 GNet: A scalable and flexible Gaussian process network with nonparametric neurons arXiv Paper Mengyang Gu Jul 12 018 Deep Gaussian Processes on Directed Acyclic Graphs arXiv Paper Federico L Perlino, Oliver Hamelijnck et al. Jul 10 019 comprisk: A scikit-learn-compatible Python toolkit for competing-risks survival analysis arXiv Paper Sunny Yang et al. Jul 10 020 A scalable version of MADD for big-data classification arXiv Paper Annesha Ghosh et al. Jul 9 021 Causal-RetiGraph: Cross-Cohort Retinal Support and Same-Subject Pathway Analysis for Diabetic Retinopathy arXiv Paper Inam Ullah et al. Jul 6 022 Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data arXiv Paper Yuankang Zhao, Youngsoo Baek et al. Jul 6 023 Sequential Correlations Change In-Context Learning: Effective Context Length and Architectural Mismatch arXiv Paper Mary I. Letey, Yue M. Lu et al. Jul 4 024 Optimal scaling of MCMC algorithms: the Hamiltonian approach arXiv Paper P. Dobson, J. Sanz-Serna et al. Jul 1 025 Dynamic Gaussian Processes and the Vanilla-SPDE Exchange arXiv Paper Rui-Yang Zhang, L. Astfalck et al. Jun 30 026 Doubly Robust Adaptive Conformal Inference for Causal Effects Under Temporal Dependence arXiv Paper Andreas Koukorinis, Ricardo Silva Jun 29 027 Perspectives on Latent Factor Indeterminacy and its Implications for Data Representation arXiv Paper C. Peeters Jun 27 028 spca: An R package to Compute Least Squares Sparse Principal Components arXiv Paper Giovanni Maria Merola Jun 27 029 The Simulacrum: Decision-Theoretic Pretraining for Near-Optimal Time-Series Forecasting and Inference arXiv Paper Pablo Montero-Manso, Marcel Scharth Jun 26 030 $λ$-PSD: Scalable Approximate SNR-Optimised Polynomial Stein Discrepancies arXiv Paper Minh-Long Nguyen et al. Jun 25 031 Accelerated sampling using SamAdams variable timesteps and position-adaptive Langevin dynamics arXiv Paper B. Leimkuhler, Peter A. Whalley Jun 25 032 \chisao{}: A GPU-Native Parallel Optimizer for Multimodal Black-Box Functions via Convergence-Anticonvergence Oscillation arXiv Paper Ira Wolfson Jun 24 033 A Synthetic Reliability-Aware PINN Benchmark for Offshore Wind Turbine Support-Structure Monitoring with Bayesian Inverse Identification arXiv Paper Puneet Kant, M. Tanwar Jun 23 034 NoLimits.jl: Flexible and Composable Nonlinear Mixed-Effects Modeling in Julia arXiv Paper Manuel Huth et al. Jun 23 035 Scalable Bayesian Additive Models for Stellar Flare Detection via Amortized Gaussian Process Inference and Hidden Markov Models arXiv Paper R. Herrera, V. Leos‐Barajas et al. Jun 21 036 AURA: Adaptive Uncertainty-aware Refinement for LLM-as-a-Judge Auditing arXiv Paper Zilong Zhang, Yi-Ting Hung et al. Jun 18 037 SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data arXiv Paper Jie Min, Yueyao Wang et al. Jun 18 038 Overfitted high-dimensional matrix factorizations via adaptive spectral shrinkage arXiv Paper Lorenzo Mauri et al. Jun 17 039 Quantifying and Auditing LLM Evaluation via Positive--Unlabeled Learning arXiv Paper Zilong Zhang, Yi-Ting Hung et al. Jun 17 040 Generalized Neural Distributional Regression arXiv Paper Natan Hilario da Silva, V. Cancho et al. Jun 16 041 Nested Sampling: A Critical and Comprehensive Theoretical Guide arXiv Paper Luca Martino et al. Jun 16 042 Amortized mean-shift interacting particles arXiv Paper Ali Siahkoohi Jun 14 043 Score-Based Martingale Posteriors for Deep Neural Networks arXiv Paper Abylay Zhumekenov, Ajay Jasra et al. Jun 14 044 A Statistical and Machine Learning Framework for Operational Threshold Detection and Deployable Dispatch Controller Development in Hydrogen Multi-Energy Systems arXiv Paper S. Heenatigala, H. Samarasinghe Jun 12 045 GraphGP: Scalable Gaussian Processes with Vecchia's Approximation arXiv Paper Benjamin C Dodge, Philipp Frank et al. Jun 9 046 Backward Coherence and Hidden-State Stability in Recurrent Neural Networks: A Quasi-Reverse-Martingale Theory arXiv Paper Y. Chang Jun 8 047 Computational Identifiability arXiv Paper Lucius E.J. Bynum, Rajesh Ranganath et al. Jun 8 048 Large-scale empirical tuning and comparison of default optimizers for variational inference arXiv Paper Trevor Campbell, Jonathan H. Huggins et al. Jun 5 049 Diff2SP: Diffusion Models for Correlated Scenario Generation in Stochastic Programming arXiv Paper Haixiang Sun, Andrew Liu Jun 4 050 Finding Most Influential Sets arXiv Paper L. Konrad, Nikolas Kuschnig Jun 4 051 A Two-Channel F-Transform Representation for Early Trajectory Characterization in Iterated Correlation Dynamics arXiv Paper Ishrak Alhajj Hassan Jun 3 052 Bayesian learning for the stochastic shortest path problem arXiv Paper C. Ho, Sumeetpal S. Singh et al. Jun 3 053 Folded Transport MCMC: Eliminating Label Switching by Sampling on a Fundamental Domain arXiv Paper Jun Hu Jun 3 054 Local and Global Contraction Principles for MCMC Mixing arXiv Paper Alireza Daeijavad et al. Jun 2 055 Neural Posterior Estimation for Stochastic Epidemic Models Using Final Outcome Data arXiv Paper Theodore Kypraios Jun 1 056 Speculative Sampling For Faster Molecular Dynamics arXiv Paper Arthur Kosmala, Stephan Gunnemann et al. Jun 1 057 Non-Vacuous Certification of Transport MCMC via Oscillation-Controlled Normalizing Flows arXiv Paper Jun Hu May 31 058 Bayesian Inference of Nonlinear Malaria Dynamics in Ghana via an Ensemble Markov Chain Monte Carlo Sampler arXiv Paper T. Ansah-Narh, Y. Afrane et al. May 30 059 On couplings for kinetic Langevin diffusions arXiv Paper Nawaf Bou-Rabee et al. May 29 060 Polar Depth for Potentially Heavy-Tailed Data arXiv Paper Stephan Clemençon et al. May 29