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61 Papers
TITLE
DATE
VIEWS
LassoFlexNet: Flexible Neural Architecture for Tabular Data
By Kry Yik Chau Lui, Cheng Chi, Kishore Basu · ArXiv: 2603.20631
2026-03-21
0
Generative Diffusion Model for Risk-Neutral Derivative Pricing
By Nilay Tiwari · ArXiv: 2603.20582
2026-03-21
0
Double Machine Learning for Static Panel Data with Instrumental Variables: New Method and Applications
By Anna Baiardi, Paul S. Clarke, Andrea A. Naghi · ArXiv: 2603.20464
2026-03-20
0
When are time series predictions causal? The potential system and dynamic causal effects
By Jacob Carlson, Neil Shephard · ArXiv: 2603.20394
2026-03-20
0
From Cross-Validation to SURE: Asymptotic Risk of Tuned Regularized Estimators
By Karun Adusumilli, Maximilian Kasy, Ashia Wilson · ArXiv: 2603.20388
2026-03-20
0
Towards Improved Short-term Hypoglycemia Prediction and Diabetes Management based on Refined Heart Rate Data
By Vaibhav Gupta, Florian Grensing, Beyza Cinar · ArXiv: 2603.20345
2026-03-20
0
Beyond Pairwise: Nonparametric Kernel Estimators for a Generalized Weitzman Coefficient Across k Distributions
By Omar Eidous, Noura Almasri · ArXiv: 2603.20318
2026-03-19
0
Minimax Generalized Cross-Entropy
By Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez · ArXiv: 2603.19874
2026-03-25
0
Scalable Learning of Multivariate Distributions via Coresets
By Zeyu Ding, Katja Ickstadt, Nadja Klein · ArXiv: 2603.19792
2026-03-20
0
A two-step sequential approach for hyperparameter selection in finite context models
By José Contente, Ana Martins, Arm · ArXiv: 2603.19736
2026-03-20
0
Minimax and Adaptive Covariance Matrix Estimation under Differential Privacy
By T. Tony Cai, Yicheng Li · ArXiv: 2603.19703
2026-03-20
0
On the role of memorization in learned priors for geophysical inverse problems
By Ali Siahkoohi, Davide Sabeddu · ArXiv: 2603.19629
2026-03-20
0
Stochastic Averaging and Statistical Inference of Glycolytic Pathway
By Arnab Ganguly, Hye-Won Kang · ArXiv: 2603.19577
2026-03-20
2
Near-Equivalent Q-learning Policies for Dynamic Treatment Regimes
By Sophia Yazzourh, Erica E. M. Moodie · ArXiv: 2603.19440
2026-03-19
0
Synthetic Control Misconceptions: Recommendations for Practice
By Robert Pickett, Jennifer Hill, Sarah Cowan · ArXiv: 2603.19211
2026-03-19
0
The Exponentially Weighted Signature
By Alex, re Bloch, Samuel N. Cohen · ArXiv: 2603.19198
2026-03-19
0
The Uncertain Policy Price of Scaling Direct Air Capture
By Leonardo Chiani, Pietro Andreoni, Laurent Drouet · ArXiv: 2603.19143
2026-03-19
0
Maximum-Entropy Exploration with Future State-Action Visitation Measures
By Adrien Boll, Gaspard Lambrechts, Damien Ernst · ArXiv: 2603.18965
2026-03-19
0
A Bayesian Reinterpretation of Cornfield-Type Sensitivity Analysis: From Thresholds to Probabilities
By Tommaso Costa · ArXiv: 2603.18928
2026-03-19
1
Inference in Regression Discontinuity Designs with Clustered Data
By Claudia Noack, Tomasz Olma, Christoph Rothe · ArXiv: 2603.18870
2026-03-19
0
Statistical Testing Framework for Clustering Pipelines by Selective Inference
By Yugo Miyata, Tomohiro Shiraishi, Shunichi Nishino · ArXiv: 2603.18413
2026-03-23
0
Synthetic Data, Information, and Prior Knowledge: Why Synthetic Data Augmentation to Boost Sample Doesn't Work for Statistical Inference
By Reid Dale, Jordan Rodu, Mike Baiocchi · ArXiv: 2603.18345
2026-03-18
0
A Hybrid Conditional Diffusion-DeepONet Framework for High-Fidelity Stress Prediction in Hyperelastic Materials
By Purna Vindhya Kota, Meer Mehran Rashid, Somdatta Goswami · ArXiv: 2603.18225
2026-03-18
0
The Role of Data and Metrics in Measuring Inequality Worldwide. A Tribute to Giovanni Andrea Cornia's Lifelong Work on the World Ginis
By Lidia Ceriani, Paolo Verme · ArXiv: 2603.18195
2026-03-18
0
Lightweight Adaptation for LLM-based Technical Service Agent: Latent Logic Augmentation and Robust Noise Reduction
By Yi Yu, Junzhuo Ma, Chenghuang Shen · ArXiv: 2603.18074
2026-03-18
0
Auditing the Auditors: Does Community-based Moderation Get It Right?
By Yeganeh Alimohammadi, Karissa Huang, Christian Borgs · ArXiv: 2603.18053
2026-03-17
0
More with Less - Bethel Allocation and Precision-Preserving Sample Size Reduction via Hierarchical Bayes Modelling
By Siu-Ming Tam · ArXiv: 2603.17663
2026-03-18
0
rSDNet: Unified Robust Neural Learning against Label Noise and Adversarial Attacks
By Suryasis Jana, Abhik Ghosh · ArXiv: 2603.17628
2026-03-18
0
Gaussian Process Limit Reveals Structural Benefits of Graph Transformers
By Nil Ayday, Lingchu Yang, Debarghya Ghoshdastidar · ArXiv: 2603.17569
2026-03-18
0
Consistency of the $k$-Nearest Neighbor Regressor under Complex Survey Designs
By Caren Hasler · ArXiv: 2603.17551
2026-03-18
0
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