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1,245 records

Differentially private inference framework for Riemannian manifold data
Yangdi Jiang, Xiaotian Chang, Qirui Hu
arXiv Source: arxiv.orgMay 14, 2026stat.MEscore 0
Average Gradient Outer Product in kernel regression provably recovers the central subspace for multi-index models
Libin Zhu, Damek Davis, Dmitriy Drusvyatskiy, Maryam Fazel
arXiv Source: arxiv.orgMay 14, 2026stat.MLscore 0
Harnessing Unimodality in Semiparametric Contextual Pricing via Oracle Price Map Learning
Yingying Fan, Yuxuan Han, Jinchi Lv, Xiaocong Xu, Zhengyuan Zhou
arXiv Source: arxiv.orgMay 14, 2026stat.MLscore 0
State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives
Hoang-Son Tran, Pranav Gupta, Rémi Bardenet, Subhroshekhar Ghosh
arXiv Source: arxiv.orgMay 13, 2026stat.MLscore 0
The Sample Complexity of Multiple Change Point Identification under Bandit Feedback
Maximilian Graf, Victor Thuot
arXiv Source: arxiv.orgMay 13, 2026stat.MLscore 0
Learning Perturbations to Extrapolate Your LLM
Zetai Cen, Chenfei Gu, Jin Zhu, Ting Li, Yunxiao Chen, Chengchun Shi
arXiv Source: arxiv.orgMay 13, 2026stat.MLscore 0
On the Limits of Latent Reuse in Diffusion Models
Yifeng Yu, Lu Yu
arXiv Source: arxiv.orgMay 13, 2026stat.MLscore 0
Structural identifiability of partially-observed stochastic processes: from single-particle trajectories to total particle density data
Arianna Ceccarelli, Alexander P. Browning, Ruth E. Baker
arXiv Source: arxiv.orgMay 13, 2026stat.MEscore 0
What is Learnable in Valiant's Theory of the Learnable?
Steve Hanneke, Anay Mehrotra, Grigoris Velegkas, Manolis Zampetakis
arXiv Source: arxiv.orgMay 13, 2026stat.MLscore 0
Predictive Inference via Kernel Density Estimates
Torey Hilbert
arXiv Source: arxiv.orgMay 13, 2026stat.MEscore 0
Posterior Contraction Rates for Sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces
Jeunghun Oh, Kyeongwon Lee, Jaeyong Lee, Lizhen Lin
arXiv Source: arxiv.orgMay 12, 2026stat.MLscore 0
Model-based Bootstrap of Controlled Markov Chains
Ziwei Su, Imon Banerjee, Diego Klabjan
arXiv Source: arxiv.orgMay 12, 2026stat.MLscore 0
A Unified Framework for Critical Scaling of Inverse Temperature in Self-Attention
Tomohiro Hayase, Ryo Karakida
arXiv Source: arxiv.orgMay 12, 2026stat.MLscore 0
A Statistical Framework for Learning Preferences from the Past
Tamojit Sadhukhan, Moulinath Banerjee, Krishanu Maulik, Parthanil Roy
arXiv Source: arxiv.orgMay 11, 2026stat.MEscore 0
Characterizing the Generalization Error of Random Feature Regression with Arbitrary Data-Augmentation
Lucas Morisset, Alain Durmus, Adrien Hardy
arXiv Source: arxiv.orgMay 11, 2026stat.MLscore 0
Affine Tracing: A New Paradigm for Probabilistic Linear Solvers
Disha Hegde, Marvin Pförtner, Jon Cockayne
arXiv Source: arxiv.orgMay 11, 2026stat.MLscore 0
Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data
Youssef Chaabouni, David Gamarnik
arXiv Source: arxiv.orgMay 11, 2026stat.MLscore 0
Uniform Scaling Limits in AdamW-Trained Transformers
William Gibson, Christoph Reisinger
arXiv Source: arxiv.orgMay 11, 2026stat.MLscore 0
Quantitative Local Convergence of Mean-Field Stein Variational Gradient Flow
Lénaïc Chizat, Maria Colombo, Roberto Colombo, Xavier Fernández-Real
arXiv Source: arxiv.orgMay 10, 2026stat.MLscore 0
Proximal Path-Specific Inference
Yang Bai, Sihan Wu, Baoluo Sun, Yifan Cui
arXiv Source: arxiv.orgMay 10, 2026stat.MEscore 0
Learning stochastic multiscale models through normalizing flows
Anan Saha, Arnab Ganguly
arXiv Source: arxiv.orgMay 10, 2026stat.MLscore 0
Core-Halo Decomposition: Decentralizing Large-Scale Fixed-Point Problems
Haixiang, Yang Xu, Jiefu Zhang, Xudong Wu, Zihan Zhou, Jun He, Jiayu Chen
arXiv Source: arxiv.orgMay 9, 2026stat.MLscore 0
Measuring and Decomposing Mode Separation via the Canonical Diffusion
Shaul Tolkovsky, Ori Meidler, Or Zuk
arXiv Source: arxiv.orgMay 9, 2026stat.MLscore 0
Tight Generalization Bounds for Noiseless Inverse Optimization
Pouria Fatemi, Hoomaan Maskan, Suvrit Sra, Peyman Mohajerin Esfahani
arXiv Source: arxiv.orgMay 9, 2026stat.MLscore 0
Every Feedforward Neural Network Definable in an o-Minimal Structure Has Finite Sample Complexity
Anastasis Kratsios, Gregory Cousins, Haitz Sáez de Ocáriz Borde, Bum Jun Kim, Simone Brugiapaglia
arXiv Source: arxiv.orgMay 8, 2026stat.MLscore 0
TopoFisher: Learning Topological Summary Statistics by Maximizing Fisher Information
Matteo Biagetti, Mathieu Carrière, Francesco Conti, Enrico Maria Ferrari, Sven Heydenreich, Karthik Viswanathan
arXiv Source: arxiv.orgMay 8, 2026stat.MLscore 0
Expectation-Maximization as a Spectrally Governed Relaxation Flow
Qiao Wang
arXiv Source: arxiv.orgMay 8, 2026stat.MLscore 0
Parametric ROC Analysis and Optimal Cutoff Selection under Scale Mixtures of Skew-Normal Distributions: A Decision-Theoretic Framework with Asymptotic Inference
Renato de Paula, Helena Mouriño, Tiago Dias Domingues
arXiv Source: arxiv.orgMay 8, 2026stat.MEscore 0
Cellwise and Casewise Robust Multivariate Regression with Inference
Fabio Centofanti, Mia Hubert, Peter J. Rousseeuw
arXiv Source: arxiv.orgMay 8, 2026stat.MEscore 0
A Note on Non-Negative $L_1$-Approximating Polynomials
Jane H. Lee, Anay Mehrotra, Manolis Zampetakis
arXiv Source: arxiv.orgMay 8, 2026stat.MLscore 0
Sinkhorn Treatment Effects: A Causal Optimal Transport Measure
Medha Agarwal, Alex Luedtke
arXiv Source: arxiv.orgMay 8, 2026stat.MLscore 0
Sliced Inner Product Gromov-Wasserstein Distances
Xiaoyun Gong, Gabriel Rioux, Ziv Goldfeld
arXiv Source: arxiv.orgMay 8, 2026stat.MLscore 0
Variational Smoothing and Inference for SDEs from Sparse Data with Dynamic Neural Flows
Yu Wang, Arnab Ganguly
arXiv Source: arxiv.orgMay 7, 2026stat.MLscore 0
A Stein Characterization-type Omnibus Tests for the Discrete Pareto Distribution
Deepesh Bhati, Bruno Ebner, Sakshi Khandelwal
arXiv Source: arxiv.orgMay 7, 2026stat.MEscore 0
Ratio-based Loss Functions
Lena Helgerth, Andreas Christmann
arXiv Source: arxiv.orgMay 7, 2026stat.MLscore 0
CITE: Anytime-Valid Statistical Inference in LLM Self-Consistency
Hirofumi Ota, Naoto Iwase, Yuki Ichihara, Junpei Komiyama, Masaaki Imaizumi
arXiv Source: arxiv.orgMay 7, 2026stat.MLscore 0
Expressivity of Bi-Lipschitz Normalizing Flows: A Score-Based Diffusion Perspective
Meira Iske, Carola-Bibiane Schönlieb
arXiv Source: arxiv.orgMay 7, 2026stat.MLscore 0
Risk-Controlled Post-Processing of Decision Policies
Sunay Joshi, Tao Wang, Hamed Hassani, Edgar Dobriban
arXiv Source: arxiv.orgMay 7, 2026stat.MLscore 0
How Does Attention Help? Insights from Random Matrices on Signal Recovery from Sequence Models
Mohamed El Amine Seddik
arXiv Source: arxiv.orgMay 7, 2026stat.MLscore 0
One Operator for Many Densities: Amortized Approximation of Conditioning by Neural Operators
Panos Tsimpos, Edoardo Calvello, Ayoub Belhadji, Nicholas H. Nelsen
arXiv Source: arxiv.orgMay 7, 2026stat.MLscore 0
Locally Near Optimal Piecewise Linear Regression in High Dimensions via Difference of Max-Affine Functions
Haitham Kanj, Kiryung Lee
arXiv Source: arxiv.orgMay 7, 2026stat.MLscore 0
Causal discovery under mean independence and linearity
Geert Mesters, Alvaro Ribot, Anna Seigal, Piotr Zwiernik
arXiv Source: arxiv.orgMay 6, 2026stat.MEscore 0
Augmented transfer regression learning for completely missing covariates
Huali Zhao, Tianying Wang
arXiv Source: arxiv.orgMay 6, 2026stat.MEscore 0
Multiscale Euclidean Network Trajectories: Second-Moment Geometry, Attribution, and Change Points
Haruka Ezoe, Ryohei Hisano
arXiv Source: arxiv.orgMay 6, 2026stat.MLscore 0
Tests for white noise via asymptotically independent U-statistics in high-dimensions
Yuanya Xu
arXiv Source: arxiv.orgMay 6, 2026stat.MEscore 0
Convexity in Disguise: A Theoretical Framework for Nonconvex Low-Rank Matrix Estimation
Chengyu Cui, Gongjun Xu
arXiv Source: arxiv.orgMay 6, 2026stat.MLscore 0
A renormalization-group inspired lattice-based framework for piecewise generalized linear models
Joshua C. Chang
arXiv Source: arxiv.orgMay 6, 2026stat.MEscore 0
Tests for constancy of model parameters Over time
Nils Lid Hjort, Alex J. Koning
arXiv Source: arxiv.orgMay 6, 2026stat.MEscore 0
Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy
Kisung You
arXiv Source: arxiv.orgMay 5, 2026stat.MLscore 0
Imbalanced Classification under Capacity Constraints
Daniel Fraiman, Ricardo Fraiman
arXiv Source: arxiv.orgMay 5, 2026stat.MLscore 0