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TITLE
DATE
VIEWS
Sequential Change Detection Under Markov Setup With Unknown Prechange And Postchange Distributions
By Ashish Bhoopesh Gulaguli, Shashwat Singh, Rakesh Kumar Bansal · ArXiv: 2510.26204
2026-03-15
0
How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs
By Samet Demir, Zafer Dogan · ArXiv: 2510.25753
2026-02-05
0
A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization
By Wei Shen, Jiawei Zhang, Minhui Huang · ArXiv: 2510.24710
2026-02-04
0
Self-Concordant Perturbations for Linear Bandits
By Lucas Lévy, Jean-Lou Valeau, Arya Akhavan · ArXiv: 2510.24187
2026-02-12
0
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
By Enze Shi, Pankaj Bhagwat, Zhixian Yang · ArXiv: 2510.23935
2026-02-07
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Ridge Boosting is Both Robust and Efficient
By David Bruns-Smith, Zhongming Xie, Avi Feller · ArXiv: 2510.22083
2026-03-21
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Bayesian analysis of flexible Heckman selection models using Hamiltonian Monte Carlo
By Heeju Lim, Victor E. Lachos, Victor H. Lachos · ArXiv: 2510.20942
2025-10-23
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Identification and Debiased Learning of Causal Effects with General Instrumental Variables
By Shuyuan Chen, Peng Zhang, Yifan Cui · ArXiv: 2510.20404
2026-02-07
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Green Finance and Carbon Emissions: A Nonlinear and Interaction Analysis Using Bayesian Additive Regression Trees
By Mengxiang Zhu, Riccardo Rastelli · ArXiv: 2510.19785
2026-02-02
0
Scalable LinUCB: Low-Rank Design Matrix Updates for Recommenders with Large Action Spaces
By Evgenia Shustova, Marina Sheshukova, Sergey Samsonov · ArXiv: 2510.19349
2026-02-09
0
Uncertainty Estimation by Flexible Evidential Deep Learning
By Taeseong Yoon, Heeyoung Kim · ArXiv: 2510.18322
2026-02-20
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Beating the Winner's Curse via Inference-Aware Policy Optimization
By Hamsa Bastani, Osbert Bastani, Bryce McLaughlin · ArXiv: 2510.18161
2026-02-07
0
Graphical model for factorization and completion of relatively high rank tensors by sparse sampling
By Angelo Giorgio Cavaliere, Riki Nagasawa, Shuta Yokoi · ArXiv: 2510.17886
2026-02-18
0
Spectral Thresholds in Correlated Spiked Models and Fundamental Limits of Partial Least Squares
By Pierre Mergny, Lenka Zdeborová · ArXiv: 2510.17561
2025-10-20
0
Uncertainty-aware data assimilation through variational inference
By Anthony Frion, David S Greenberg · ArXiv: 2510.17268
2026-02-27
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Causal inference for calibrated scaling interventions on time-to-event processes
By Helene Charlotte Wiese Rytgaard, Mark van der Laan · ArXiv: 2510.16798
2026-02-03
0
Still Competitive: Revisiting Recurrent Models for Irregular Time Series Prediction
By Ankitkumar Joshi, Milos Hauskrecht · ArXiv: 2510.16161
2026-02-18
0
Robust estimation of polyserial correlation coefficients: A density power divergence approach
By Max Welz · ArXiv: 2510.15632
2026-02-10
0
On the identifiability of causal graphs with multiple environments
By Francesco Montagna · ArXiv: 2510.13583
2026-03-18
0
Data-intrinsic approximation in metric spaces
By Jürgen Dölz, Michael Multerer · ArXiv: 2510.13496
2026-03-16
0
Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games
By Anupam Nayak, Tong Yang, Osman Yagan · ArXiv: 2510.13060
2026-02-04
0
The $α$--regression for compositional data: a unified framework for standard, spatially-lagged, spatial autoregressive and geographically-weighted regression models
By Michail Tsagris, Yannis Pantazis · ArXiv: 2510.12663
2026-02-04
0
Adapting Noise to Data: Generative Flows from 1D Processes
By Jannis Chemseddine, Gregor Kornhardt, Richard Duong · ArXiv: 2510.12636
2026-02-10
0
The Living Forecast: Evolving Day-Ahead Predictions into Intraday Reality
By Kutay Bölat, Peter Palensky, Simon Tindemans · ArXiv: 2510.12271
2026-03-13
0
Mamba Can Learn Low-Dimensional Targets In-Context via Test-Time Feature Learning
By Junsoo Oh, Wei Huang, Taiji Suzuki · ArXiv: 2510.12026
2026-02-12
0
Directional replicability: when can the factor of two be omitted
By Vera Djordjilović, Tamar Sofer, Jonathan M. Dreyfuss · ArXiv: 2510.11273
2025-10-13
0
Tight Robustness Certificates and Wasserstein Distributional Attacks for Deep Neural Networks
By Bach C. Le, Tung V. Dao, Binh T. Nguyen · ArXiv: 2510.10000
2026-02-03
0
A Unified Framework for Lifted Training and Inversion Approaches
By Xiaoyu Wang, Alex, ra Valavanis · ArXiv: 2510.09796
2026-02-06
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A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization
By Hideaki Kim, Tomoharu Iwata · ArXiv: 2510.08916
2026-02-05
0
Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
By Kevin Rojas, Jiahe Lin, Kashif Rasul · ArXiv: 2510.08554
2026-02-11
0