arXiv stat.ML Machine Learning
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[2025-11-28 Fri (UTC), no new articles found for statML Machine Learning]
November 28, 2025 at 6:58 AM
[2025-11-28 Fri (UTC), no new articles found for statML Machine Learning]
Reposted by arXiv stat.ML Machine Learning
Peter S. Hovmand, Kari O'Donnell, Callie Ogland-Hand, Brian Biroscak, Douglas D. Gunzler: Bridging the Unavoidable A Priori: A Framework for Comparative Causal Modeling https://arxiv.org/abs/2511.21636 https://arxiv.org/pdf/2511.21636 https://arxiv.org/html/2511.21636
November 27, 2025 at 6:29 AM
Peter S. Hovmand, Kari O'Donnell, Callie Ogland-Hand, Brian Biroscak, Douglas D. Gunzler: Bridging the Unavoidable A Priori: A Framework for Comparative Causal Modeling https://arxiv.org/abs/2511.21636 https://arxiv.org/pdf/2511.21636 https://arxiv.org/html/2511.21636
Reposted by arXiv stat.ML Machine Learning
Sam Power, Giorgos Vasdekis: Some aspects of robustness in modern Markov Chain Monte Carlo https://arxiv.org/abs/2511.21563 https://arxiv.org/pdf/2511.21563 https://arxiv.org/html/2511.21563
November 27, 2025 at 6:53 AM
Sam Power, Giorgos Vasdekis: Some aspects of robustness in modern Markov Chain Monte Carlo https://arxiv.org/abs/2511.21563 https://arxiv.org/pdf/2511.21563 https://arxiv.org/html/2511.21563
Reposted by arXiv stat.ML Machine Learning
Boumediene Hamzi, Houman Owhadi: A Dynamics-Informed Gaussian Process Framework for 2D Stochastic Navier-Stokes via Quasi-Gaussianity https://arxiv.org/abs/2511.21281 https://arxiv.org/pdf/2511.21281 https://arxiv.org/html/2511.21281
November 27, 2025 at 6:38 AM
Boumediene Hamzi, Houman Owhadi: A Dynamics-Informed Gaussian Process Framework for 2D Stochastic Navier-Stokes via Quasi-Gaussianity https://arxiv.org/abs/2511.21281 https://arxiv.org/pdf/2511.21281 https://arxiv.org/html/2511.21281
Reposted by arXiv stat.ML Machine Learning
Sullivan Hu\'e, S\'ebastien Laurent, Ulrich Aiounou, Emmanuel Flachaire: Estimation in high-dimensional linear regression: Post-Double-Autometrics as an alternative to Post-Double-Lasso https://arxiv.org/abs/2511.21257 https://arxiv.org/pdf/2511.21257 https://arxiv.org/html/2511.21257
November 27, 2025 at 6:35 AM
Sullivan Hu\'e, S\'ebastien Laurent, Ulrich Aiounou, Emmanuel Flachaire: Estimation in high-dimensional linear regression: Post-Double-Autometrics as an alternative to Post-Double-Lasso https://arxiv.org/abs/2511.21257 https://arxiv.org/pdf/2511.21257 https://arxiv.org/html/2511.21257
Reposted by arXiv stat.ML Machine Learning
Chungpa Lee, Thomas Zeng, Jongwon Jeong, Jy-yong Sohn, Kangwook Lee: How to Correctly Report LLM-as-a-Judge Evaluations https://arxiv.org/abs/2511.21140 https://arxiv.org/pdf/2511.21140 https://arxiv.org/html/2511.21140
November 27, 2025 at 6:33 AM
Chungpa Lee, Thomas Zeng, Jongwon Jeong, Jy-yong Sohn, Kangwook Lee: How to Correctly Report LLM-as-a-Judge Evaluations https://arxiv.org/abs/2511.21140 https://arxiv.org/pdf/2511.21140 https://arxiv.org/html/2511.21140
Reposted by arXiv stat.ML Machine Learning
Hongrui Chen, Rong Ma: Statistical Inference for Manifold Similarity and Alignability across Noisy High-Dimensional Datasets https://arxiv.org/abs/2511.21074 https://arxiv.org/pdf/2511.21074 https://arxiv.org/html/2511.21074
November 27, 2025 at 6:41 AM
Hongrui Chen, Rong Ma: Statistical Inference for Manifold Similarity and Alignability across Noisy High-Dimensional Datasets https://arxiv.org/abs/2511.21074 https://arxiv.org/pdf/2511.21074 https://arxiv.org/html/2511.21074
Reposted by arXiv stat.ML Machine Learning
Alireza Aghasi, Nicholas Marshall, Saeid Pourmand, Wyatt Whiting: G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks https://arxiv.org/abs/2511.21063 https://arxiv.org/pdf/2511.21063 https://arxiv.org/html/2511.21063
November 27, 2025 at 6:33 AM
Alireza Aghasi, Nicholas Marshall, Saeid Pourmand, Wyatt Whiting: G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks https://arxiv.org/abs/2511.21063 https://arxiv.org/pdf/2511.21063 https://arxiv.org/html/2511.21063
Reposted by arXiv stat.ML Machine Learning
Vladimir Berman: Zipf Distributions from Two-Stage Symbolic Processes: Stability Under Stochastic Lexical Filtering https://arxiv.org/abs/2511.21060 https://arxiv.org/pdf/2511.21060 https://arxiv.org/html/2511.21060
November 27, 2025 at 6:53 AM
Vladimir Berman: Zipf Distributions from Two-Stage Symbolic Processes: Stability Under Stochastic Lexical Filtering https://arxiv.org/abs/2511.21060 https://arxiv.org/pdf/2511.21060 https://arxiv.org/html/2511.21060
Reposted by arXiv stat.ML Machine Learning
Cho, Song, Chowdhury, An, Wang, Thekkanal, Sokhandan, Keshava, Marlowe: Breaking the Safety-Capability Tradeoff: Reinforcement Learning with Verifiable Rewards Maintains Safety Guardrails in ... https://arxiv.org/abs/2511.21050 https://arxiv.org/pdf/2511.21050 https://arxiv.org/html/2511.21050
November 27, 2025 at 6:33 AM
Cho, Song, Chowdhury, An, Wang, Thekkanal, Sokhandan, Keshava, Marlowe: Breaking the Safety-Capability Tradeoff: Reinforcement Learning with Verifiable Rewards Maintains Safety Guardrails in ... https://arxiv.org/abs/2511.21050 https://arxiv.org/pdf/2511.21050 https://arxiv.org/html/2511.21050
Reposted by arXiv stat.ML Machine Learning
Constantinos Daskalakis, Vardis Kandiros, Rui Yao: Estimating Ising Models in Total Variation Distance https://arxiv.org/abs/2511.21008 https://arxiv.org/pdf/2511.21008 https://arxiv.org/html/2511.21008
November 27, 2025 at 6:33 AM
Constantinos Daskalakis, Vardis Kandiros, Rui Yao: Estimating Ising Models in Total Variation Distance https://arxiv.org/abs/2511.21008 https://arxiv.org/pdf/2511.21008 https://arxiv.org/html/2511.21008
Reposted by arXiv stat.ML Machine Learning
Ayoob Salari, Kai Wu, Khawaja Fahad Masood, Y. Jay Guo, J. Andrew Zhang: Wavelet-Guided Water-Level Estimation for ISAC https://arxiv.org/abs/2511.20936 https://arxiv.org/pdf/2511.20936 https://arxiv.org/html/2511.20936
November 27, 2025 at 6:36 AM
Ayoob Salari, Kai Wu, Khawaja Fahad Masood, Y. Jay Guo, J. Andrew Zhang: Wavelet-Guided Water-Level Estimation for ISAC https://arxiv.org/abs/2511.20936 https://arxiv.org/pdf/2511.20936 https://arxiv.org/html/2511.20936
Reposted by arXiv stat.ML Machine Learning
Vitoria Barin-Pacela, Kartik Ahuja, Simon Lacoste-Julien, Pascal Vincent: Operationalizing Quantized Disentanglement https://arxiv.org/abs/2511.20927 https://arxiv.org/pdf/2511.20927 https://arxiv.org/html/2511.20927
November 27, 2025 at 6:33 AM
Vitoria Barin-Pacela, Kartik Ahuja, Simon Lacoste-Julien, Pascal Vincent: Operationalizing Quantized Disentanglement https://arxiv.org/abs/2511.20927 https://arxiv.org/pdf/2511.20927 https://arxiv.org/html/2511.20927
Reposted by arXiv stat.ML Machine Learning
Aodong Li, Abishek Sankararaman, Balakrishnan Narayanaswamy: Probabilistic Hash Embeddings for Online Learning of Categorical Features https://arxiv.org/abs/2511.20893 https://arxiv.org/pdf/2511.20893 https://arxiv.org/html/2511.20893
November 27, 2025 at 6:33 AM
Aodong Li, Abishek Sankararaman, Balakrishnan Narayanaswamy: Probabilistic Hash Embeddings for Online Learning of Categorical Features https://arxiv.org/abs/2511.20893 https://arxiv.org/pdf/2511.20893 https://arxiv.org/html/2511.20893
Reposted by arXiv stat.ML Machine Learning
Nan Jiang: Selecting Belief-State Approximations in Simulators with Latent States https://arxiv.org/abs/2511.20870 https://arxiv.org/pdf/2511.20870 https://arxiv.org/html/2511.20870
November 27, 2025 at 6:33 AM
Nan Jiang: Selecting Belief-State Approximations in Simulators with Latent States https://arxiv.org/abs/2511.20870 https://arxiv.org/pdf/2511.20870 https://arxiv.org/html/2511.20870
Reposted by arXiv stat.ML Machine Learning
Nicolas Baradel: Constrained deep learning for pricing and hedging european options in incomplete markets https://arxiv.org/abs/2511.20837 https://arxiv.org/pdf/2511.20837 https://arxiv.org/html/2511.20837
November 27, 2025 at 6:51 AM
Nicolas Baradel: Constrained deep learning for pricing and hedging european options in incomplete markets https://arxiv.org/abs/2511.20837 https://arxiv.org/pdf/2511.20837 https://arxiv.org/html/2511.20837
Reposted by arXiv stat.ML Machine Learning
Jos\'e Camacho: A Set of Rules for Model Validation https://arxiv.org/abs/2511.20711 https://arxiv.org/pdf/2511.20711 https://arxiv.org/html/2511.20711
November 27, 2025 at 6:53 AM
Jos\'e Camacho: A Set of Rules for Model Validation https://arxiv.org/abs/2511.20711 https://arxiv.org/pdf/2511.20711 https://arxiv.org/html/2511.20711
Reposted by arXiv stat.ML Machine Learning
Bilal Ahmed, Joseph G. Makin: Solving Diffusion Inverse Problems with Restart Posterior Sampling https://arxiv.org/abs/2511.20705 https://arxiv.org/pdf/2511.20705 https://arxiv.org/html/2511.20705
November 27, 2025 at 6:33 AM
Bilal Ahmed, Joseph G. Makin: Solving Diffusion Inverse Problems with Restart Posterior Sampling https://arxiv.org/abs/2511.20705 https://arxiv.org/pdf/2511.20705 https://arxiv.org/html/2511.20705
Reposted by arXiv stat.ML Machine Learning
Abolfazl Moslemi, Hossein Peyvandi: Pretraining Transformer-Based Models on Diffusion-Generated Synthetic Graphs for Alzheimer's Disease Prediction https://arxiv.org/abs/2511.20704 https://arxiv.org/pdf/2511.20704 https://arxiv.org/html/2511.20704
November 27, 2025 at 6:33 AM
Abolfazl Moslemi, Hossein Peyvandi: Pretraining Transformer-Based Models on Diffusion-Generated Synthetic Graphs for Alzheimer's Disease Prediction https://arxiv.org/abs/2511.20704 https://arxiv.org/pdf/2511.20704 https://arxiv.org/html/2511.20704
Sadegh Shirani, Mohsen Bayati: On Evolution-Based Models for Experimentation Under Interference https://arxiv.org/abs/2511.21675 https://arxiv.org/pdf/2511.21675 https://arxiv.org/html/2511.21675
November 27, 2025 at 6:53 AM
Sadegh Shirani, Mohsen Bayati: On Evolution-Based Models for Experimentation Under Interference https://arxiv.org/abs/2511.21675 https://arxiv.org/pdf/2511.21675 https://arxiv.org/html/2511.21675
Alexandra Carpentier, Christophe Giraud, Nicolas Verzelen: Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities (II) https://arxiv.org/abs/2511.21526 https://arxiv.org/pdf/2511.21526 https://arxiv.org/html/2511.21526
November 27, 2025 at 6:53 AM
Alexandra Carpentier, Christophe Giraud, Nicolas Verzelen: Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities (II) https://arxiv.org/abs/2511.21526 https://arxiv.org/pdf/2511.21526 https://arxiv.org/html/2511.21526
Jasraj Singh, Shelvia Wongso, Jeremie Houssineau, Badr-Eddine Ch\'erief-Abdellatif: Maxitive Donsker-Varadhan Formulation for Possibilistic Variational Inference https://arxiv.org/abs/2511.21223 https://arxiv.org/pdf/2511.21223 https://arxiv.org/html/2511.21223
November 27, 2025 at 6:53 AM
Jasraj Singh, Shelvia Wongso, Jeremie Houssineau, Badr-Eddine Ch\'erief-Abdellatif: Maxitive Donsker-Varadhan Formulation for Possibilistic Variational Inference https://arxiv.org/abs/2511.21223 https://arxiv.org/pdf/2511.21223 https://arxiv.org/html/2511.21223
Lechen Feng, Haoran Li, Lucky Li, Xingqiu Zhao: Nonconvex Penalized LAD Estimation in Partial Linear Models with DNNs: Asymptotic Analysis and Proximal Algorithms https://arxiv.org/abs/2511.21115 https://arxiv.org/pdf/2511.21115 https://arxiv.org/html/2511.21115
November 27, 2025 at 6:53 AM
Lechen Feng, Haoran Li, Lucky Li, Xingqiu Zhao: Nonconvex Penalized LAD Estimation in Partial Linear Models with DNNs: Asymptotic Analysis and Proximal Algorithms https://arxiv.org/abs/2511.21115 https://arxiv.org/pdf/2511.21115 https://arxiv.org/html/2511.21115
Soumojit Das, Nairanjana Dasgupta, Prashanta Dutta: Geometric Calibration and Neutral Zones for Uncertainty-Aware Multi-Class Classification https://arxiv.org/abs/2511.20960 https://arxiv.org/pdf/2511.20960 https://arxiv.org/html/2511.20960
November 27, 2025 at 6:53 AM
Soumojit Das, Nairanjana Dasgupta, Prashanta Dutta: Geometric Calibration and Neutral Zones for Uncertainty-Aware Multi-Class Classification https://arxiv.org/abs/2511.20960 https://arxiv.org/pdf/2511.20960 https://arxiv.org/html/2511.20960
Arthur Jacot: Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets https://arxiv.org/abs/2511.20888 https://arxiv.org/pdf/2511.20888 https://arxiv.org/html/2511.20888
November 27, 2025 at 6:53 AM
Arthur Jacot: Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets https://arxiv.org/abs/2511.20888 https://arxiv.org/pdf/2511.20888 https://arxiv.org/html/2511.20888