arxiv stat.ML
@arxiv-stat-ml.bsky.social
📤 1441
📥 0
📝 7407
source:
https://arxiv.org/rss/stat.ML
maintainer:
@tmaehara.bsky.social
Qijun Chen, Shaofan Li eXact-Prior Variational Autoencoder (X-VAE): Learning Data-Adaptive Gaussian Mixture Priors for Latent Distributions
https://arxiv.org/abs/2607.01275
about 12 hours ago
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Stefano Masini, Cecilia Viscardi, Michela Baccini Full Bayesian Reinforcement Learning via LF-IBIS
https://arxiv.org/abs/2607.01741
about 12 hours ago
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Xin Guan Statistical Properties of $k$-means Clustering for Data Missing Completely at Random
https://arxiv.org/abs/2607.01945
about 12 hours ago
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Julian Cardenas, Jamie Arjona, Pedro Delicado Autorelevance function and other feature relevance measures for univariate time series
https://arxiv.org/abs/2607.01959
about 12 hours ago
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Matej Benko, Pierre Bousquet, Iwona Chlebicka, B{\l}a\.zej Miasojedow Born Discrete, Made Smooth: Variational Formulation of Shallow Neural Networks
https://arxiv.org/abs/2607.02003
about 12 hours ago
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Yurui Zheng, Ying Jin Prediction Sets for Counterfactual Decisions: Coverage, Optimality, and Conformal Prediction
https://arxiv.org/abs/2607.02206
about 12 hours ago
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Sampreeti Bhattacharya, Arkaprava Roy An Additive MLP-GNN Framework for Characterizing Chemical and Structural Contributions to Aqueous Solubility
https://arxiv.org/abs/2607.02212
about 12 hours ago
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Yuan Yuan The Dual Nature of LLM Persona: Aggregated Tendencies and Frame-Dependent Geometry
https://arxiv.org/abs/2607.02368
about 12 hours ago
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Konstantin H\"aberle, Helmut B\"olcskei Separation Capacity of Scattering Networks
https://arxiv.org/abs/2606.30822
3 days ago
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Abigail Loe, Susan Murry, Zhenke Wu Dynamic Prediction of Alternating Recurrent Events via Neural Network
https://arxiv.org/abs/2606.30889
3 days ago
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Konstantinos Emmanouilidis, Lachlan MacDonald, Salma Tarmoun, Rene Vidal SGD at the Edge of Stability: Stochastic Stabilization with Large Learning Rates
https://arxiv.org/abs/2606.30930
3 days ago
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Rui-Yang Zhang, Lachlan Astfalck, Edward Cripps, David Leslie, Henry Moss Dynamic Gaussian Processes and the Vanilla-SPDE Exchange
https://arxiv.org/abs/2606.31063
3 days ago
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Xin Guan MNAR-$k$-means: A $k$-means Clustering for Data Missing Not at Random with Magnitude-Decaying Probability
https://arxiv.org/abs/2606.31253
3 days ago
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Jiachen Cong, Jingbo Liu Accelerating Conformal Prediction via Approximate Leave-One-Out
https://arxiv.org/abs/2606.31915
3 days ago
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Rasoul Shafipour, Andrei Buciulea, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos Directed Graph Topology Inference via Graph Filter Identification
https://arxiv.org/abs/2606.27455
5 days ago
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Xavier Fonseca The Decision Geometry of Covariance Estimation for the Global Minimum-Variance Portfolio under Heavy Tails
https://arxiv.org/abs/2606.27462
5 days ago
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Shixiang Liu, Hanming Yang Adversarial Contamination Meets Hard Thresholding: An Iterative Algorithm with Signal Adaptivity and Minimax Optimality
https://arxiv.org/abs/2606.27685
5 days ago
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Jiayao Bai, Lang Deng, Yi Du, Yifei Jia Local Fokker--Planck Geometry for Score Estimation: Heat-Ball Mean-Value Representations and Exact High-Dimensional Sampling
https://arxiv.org/abs/2606.27954
5 days ago
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Shai Ben-David, Farnam Mansouri, Anay Mehrotra, Manolis Zampetakis Surprises in Proper Positive-Only Learning
https://arxiv.org/abs/2606.28309
5 days ago
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Nasrin Malekzadeh Goradel, Niccolo Pancino, Yaser Gholizade Atani, Benedetta Tondi, Giovanni Bellettini, Mauro Barni The Role of Input Dimensionality in the Emergence and Targeted Control of Adversarial Examples
https://arxiv.org/abs/2606.26207
8 days ago
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Daniel Corrales, David R\'ios Insua A probabilistic framework for online test-time adaptation
https://arxiv.org/abs/2606.26457
8 days ago
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Minghao Chen, Jiale Zheng XMSE-Aware Adaptive Empirical Bayes Estimation
https://arxiv.org/abs/2606.26975
8 days ago
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Hanli Xu, Fengxiang He, Sarat Moka Beyond Global Divergences: A Local-Mass Perspective on Bayesian Inference
https://arxiv.org/abs/2606.27090
8 days ago
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Graham Gibson, John Tipton, Kellin Rumsey, Natalie Klein Ribbon: Scalable Approximation and Robust Uncertainty Quantification
https://arxiv.org/abs/2606.27269
8 days ago
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Johannes Zenn, Jonas Geiping When are likely answers right? On Sequence Probability and Correctness in LLMs
https://arxiv.org/abs/2606.27359
8 days ago
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Weihao Li, Dianne Cook, Emi Tanaka, Susan VanderPlas, Klaus Ackermann Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web
https://arxiv.org/abs/2606.24236
10 days ago
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Giorgio Corani, Stefano Damato, Dario Azzimonti, Lorenzo Zambon Model selection with proper scoring rules on data sets of time series
https://arxiv.org/abs/2606.24715
10 days ago
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Ziheng Wei, Annie Qu, Rui Miao Off-Policy Evaluation for Missingness-Aware Policies in MDPs with Rewards Missing Not at Random
https://arxiv.org/abs/2606.20206
15 days ago
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Potito Aghilar, Sabino Roccotelli, Stanislao Fidanza, Vito Walter Anelli, Sebastiano Stramaglia, Tommaso Di Noia The Representational Limit of Scalar Interactions: An Interventional Decomposition
https://arxiv.org/abs/2606.19410
15 days ago
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Beichen Wan, Mo Liu A Solver-Free Training Method for Predict-then-Optimize
https://arxiv.org/abs/2606.19587
15 days ago
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Julie Fendler, Francesca L. Crowe, Tom Marshall, Sylvia Richardson, Paul D. W. Kirk Variational Consensus Monte Carlo for Bayesian Mixture
https://arxiv.org/abs/2606.19643
15 days ago
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Zilong Zhang, Yi-Ting Hung, Weiyi He, Junxi Zhang, Lei Ding, Chi-Kuang Yeh AURA: Adaptive Uncertainty-aware Refinement for LLM-as-a-Judge Auditing
https://arxiv.org/abs/2606.19714
15 days ago
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Haonan Xu, Yingying Li Stochastic Linear Contextual Bandits with Bounded Noise: A Set-Membership Approach
https://arxiv.org/abs/2606.20022
15 days ago
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Edgar Jaber (CB,ENS Paris Saclay), Vincent Chabridon (EDF R\&D PRISME), Mathilde Mougeot (CB,ENSIIE,ENS Paris Saclay) AK-MCS-C2 : Active Kriging Monte Carlo Simulation method with conformal certification for failure probability estimation
https://arxiv.org/abs/2606.20191
15 days ago
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Itay Lavie, Noam Levi, Yonatan Kahn Statistical Properties of Training & Generalization
https://arxiv.org/abs/2606.20299
15 days ago
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Jie Min, Yueyao Wang, Mengkun Chen SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data
https://arxiv.org/abs/2606.20451
15 days ago
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Peng Xu, Changbo Zhu, Young-Heon Kim, Xiaohui Chen Another Look at Log-PCA for Probability Measures: A Dynamical Formulation and Statistical Convergence
https://arxiv.org/abs/2606.17196
17 days ago
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Jasper van Doornmalen, Mathieu Molina, Victor Verdugo, Jos\'e Verschae Tight $L_\infty$ Sample Complexity for Low-Degree and Sparse Boolean Polynomials
https://arxiv.org/abs/2606.17319
17 days ago
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Fangyuan Lin, Spencer Frei, Victor H. de la Pena Bounded Difference Concentration for Infinitely Exchangeable Sequences with Applications to AI Benchmark Uncertainty
https://arxiv.org/abs/2606.17426
17 days ago
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Adolphus Wagala, Mehmet Samur, Giovanni Parmigiani A Bayesian Boolean Matrix Factorization with Application to Copy Number Analysis in Cancer
https://arxiv.org/abs/2606.17491
17 days ago
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Arturo P\'erez-Peralta, Sandra Ben\'itez-Pe\~na, Blas Kolic, Rosa E. Lillo Geometrical fairness in graph neural networks
https://arxiv.org/abs/2606.17684
17 days ago
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Tomasz Maciazek Differential Privacy of Gaussian Process Posterior Sampling
https://arxiv.org/abs/2606.17995
17 days ago
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Eric V. Strobl Fast Nonparametric Conditional Independence Testing via Two-Stage Regression
https://arxiv.org/abs/2606.18011
17 days ago
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Nathan Ouyang, Kexin Wan, Anna Seigal Tensor-based second-order causal discovery
https://arxiv.org/abs/2606.18074
17 days ago
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M. Forzo, E. Monzio Compagnoni, A. Russo, A. Pacchiano A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise
https://arxiv.org/abs/2606.18183
17 days ago
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Yan Hong, Kedong Xiu, Wei Li, Jun Lan, Huijia Zhu, Shuheng Zhou, Zhongcai Lyu, Weiqiang Wang, Jianfu Zhang LoMC: Localized Multidirectional Correction for Refusal Suppression in Routed Foundation Models
https://arxiv.org/abs/2606.13709
19 days ago
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Na\"il B. Khelifa, Richard E. Turner, Ramji Venkataramanan Recursively Trained Diffusion Models: Limiting Collapse Distribution and Spectral Characterization
https://arxiv.org/abs/2606.13796
19 days ago
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Ousmane Amadou Dia Adaptive Nucleus Truncation for Long-Form Reasoning
https://arxiv.org/abs/2606.13982
19 days ago
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Mathias Bourel A General Framework for Decision Trees via Bregman Divergences
https://arxiv.org/abs/2606.13984
19 days ago
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Brian Britos, Mathias Bourel Geometric Domain Adaptation via Optimal Transport for Linear Regression in R^2
https://arxiv.org/abs/2606.14023
19 days ago
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