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TITLE
DATE
VIEWS
Efficient Causal Structure Learning via Modular Subgraph Integration
By Haixiang Sun, Pengchao Tian, Zihan Zhou · ArXiv: 2601.21014
2026-02-10
0
Exploring Memory Effects: Sparse Identification in Vector-Borne Diseases
By Dimitri Breda, Muhammad Tanveer, Jianhong Wu · ArXiv: 2601.20591
2026-02-19
0
Empirical Likelihood-Based Fairness Auditing: Distribution-Free Certification and Flagging
By Jie Tang, Chuanlong Xie, Xianli Zeng · ArXiv: 2601.20269
2026-02-12
0
Bias-Reduced Estimation of Finite Mixtures: An Application to Latent Group Structures in Panel Data
By Raphaël Langevin · ArXiv: 2601.20197
2026-02-03
0
Concentration Inequalities for Exchangeable Tensors and Matrix-valued Data
By Chen Cheng, Rina Foygel Barber · ArXiv: 2601.20152
2026-02-09
0
To Grok Grokking: Provable Grokking in Ridge Regression
By Mingyue Xu, Gal Vardi, Itay Safran · ArXiv: 2601.19791
2026-02-05
0
Double Fairness Policy Learning: Integrating Action Fairness and Outcome Fairness in Decision-making
By Zeyu Bian, Lan Wang, Chengchun Shi · ArXiv: 2601.19186
2026-02-09
0
Optimized $k$-means color quantization of digital images in machine-based and human perception-based colorspaces
By Ranjan Maitra · ArXiv: 2601.19117
2026-02-05
0
Rank-1 Approximation of Inverse Fisher for Natural Policy Gradients in Deep Reinforcement Learning
By Yingxiao Huo, Satya Prakash Dash, Radu Stoican · ArXiv: 2601.18626
2026-02-11
0
A Universal Load Balancing Principle and Its Application to Large Language Model Serving
By Zixi Chen, Tianci Bu, Chendong Song · ArXiv: 2601.17855
2026-02-01
0
Variational autoencoder for inference of nonlinear mixed effect models based on ordinary differential equations
By Zhe Li, Mélanie Prague, Rodolphe Thiébaut · ArXiv: 2601.17400
2026-02-10
0
Bayesian Inference for Discrete Markov Random Fields Through Coordinate Rescaling
By Giuseppe Arena, Maarten Marsman · ArXiv: 2601.17205
2026-03-06
0
A Scalable Measure of Loss Landscape Curvature for Analyzing the Training Dynamics of LLMs
By Dayal Singh Kalra, Jean-Christophe Gagnon-Audet, Andrey Gromov · ArXiv: 2601.16979
2026-02-02
0
Distributional Instruments: Identification and Estimation with Quantile Least Squares
By Rowan Cherodian, Guy Tchuente · ArXiv: 2601.16865
2026-02-11
0
Matrix-Response Generalized Linear Mixed Model with Applications to Longitudinal Brain Images
By Zhentao Yu, Jiaqi Ding, Guorong Wu · ArXiv: 2601.16340
2026-02-02
0
Orthogonal factorial designs for trials of therapist-delivered interventions: Randomising intervention-therapist combinations to patients
By Rebecca EA Walwyn, Rosemary A Bailey, Arpan Singh · ArXiv: 2601.16318
2026-02-02
0
Distributional Computational Graphs: Error Bounds
By Olof Hallqvist Elias, Michael Selby, Phillip Stanley-Marbell · ArXiv: 2601.16250
2026-02-12
0
Inference on the Significance of Modalities in Multimodal Generalized Linear Models
By Wanting Jin, Guorong Wu, Quefeng Li · ArXiv: 2601.16196
2026-02-03
0
Beyond Predictive Uncertainty: Reliable Representation Learning with Structural Constraints
By Yiyao Yang · ArXiv: 2601.16174
2026-02-19
0
Extreme Score Distributions in Countable-Outcome Round-Robin Tournaments of Equally Strong Players
By Yaakov Malinovsky · ArXiv: 2601.15950
2026-02-09
2
Learning from Synthetic Data: Limitations of ERM
By Kareem Amin, Alex Bie, Weiwei Kong · ArXiv: 2601.15468
2026-02-02
1
Distributional Balancing for Causal Inference: A Unified Framework via Characteristic Function Distance
By Diptanil Santra, Guanhua Chen, Chan Park · ArXiv: 2601.15449
2026-02-05
0
Robust Machine Learning for Regulatory Sequence Modeling under Biological and Technical Distribution Shifts
By Yiyao Yang · ArXiv: 2601.14969
2026-02-19
0
Tail-Aware Density Forecasting of Locally Explosive Time Series: A Neural Network Approach
By Elena Dumitrescu, Julien Peignon, Arthur Thomas · ArXiv: 2601.14049
2026-02-10
0
Unified Unbiased Variance Estimation for Maximum Mean Discrepancy: Robust Finite-Sample Performance with Imbalanced Data and Exact Acceleration under Null and Alternative Hypotheses
By Shijie Zhong, Yikun Yang, Da Gong · ArXiv: 2601.13874
2026-02-04
0
ChauBoxplot and AdaptiveBoxplot: Two R packages for boxplot-based outlier detection
By Tiejun Tong, Hongmei Lin, Bowen Gang · ArXiv: 2601.13759
2026-03-03
0
Small Gradient Norm Regret for Online Convex Optimization
By Wenzhi Gao, Chang He, Madeleine Udell · ArXiv: 2601.13519
2026-02-09
0
Labels or Preferences? Budget-Constrained Learning with Human Judgments over AI-Generated Outputs
By Zihan Dong, Xiaotian Hou, Ruijia Wu · ArXiv: 2601.13458
2026-02-11
0
Optimal and Unbiased Fluxes from Up-the-Ramp Detectors under Variable Illumination
By Bowen Li, Kevin A. McKinnon, Andrew K. Saydjari · ArXiv: 2601.10878
2026-03-21
0
Contrastive Geometric Learning Unlocks Unified Structure- and Ligand-Based Drug Design
By Lisa Schneckenreiter, Sohvi Luukkonen, Lukas Friedrich · ArXiv: 2601.09693
2026-02-03
0
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