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DATE
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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
A Constructive Method to Maximize Entropy under Marginal Constraints
By Pierre Jean-Claude Robert Bertr · ArXiv: 2601.09347
2026-02-06
0
Geometric Stability: The Missing Axis of Representations
By Prashant C. Raju · ArXiv: 2601.09173
2026-02-12
0
Sample Complexity of Composite Quantum Hypothesis Testing
By Jacob Paul Simpson, Efstratios Palias, Sharu Theresa Jose · ArXiv: 2601.08588
2026-02-05
0
A Unified Framework for Debiased Machine Learning: Riesz Representer Fitting under Bregman Divergence
By Masahiro Kato · ArXiv: 2601.07752
2026-02-10
2
Local EGOP for Continuous Index Learning
By Alex Kokot, An, Hemmady · ArXiv: 2601.07061
2026-02-08
0
Empirical Bayes Estimation in Heterogeneous Coefficient Panel Models
By Myunghyun Song, Sokbae Lee, Serena Ng · ArXiv: 2601.07059
2026-02-11
0
The Sample Complexity of Lossless Data Compression
By Terence Viaud, Ioannis Kontoyiannis · ArXiv: 2601.06688
2026-02-19
0
Inference-Time Alignment for Diffusion Models via Variationally Stable Doob's Matching
By Jinyuan Chang, Chenguang Duan, Yuling Jiao · ArXiv: 2601.06514
2026-02-03
0
From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence
By Marc Finzi, Shikai Qiu, Yiding Jiang · ArXiv: 2601.03220
2026-03-16
0
Multi-fidelity graph-based neural networks architectures to learn Navier-Stokes solutions on non-parametrized 2D domains
By Francesco Songia, Raoul Sallé de Chou, Hugues Talbot · ArXiv: 2601.02157
2026-02-06
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