Advanced Tutorial: Label-Efficient Two-Sample Tests
Fuente:
arXiv
Guardado en:
| Autores principales: | Li, Weizhi, Berisha, Visar, Dasarathy, Gautam |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Active Sequential Two-Sample Testing
por: Li, Weizhi, et al.
Publicado: (2023)
por: Li, Weizhi, et al.
Publicado: (2023)
Matched-Pair Experimental Design with Active Learning
por: Li, Weizhi, et al.
Publicado: (2025)
por: Li, Weizhi, et al.
Publicado: (2025)
Statistically Valid Post-Deployment Monitoring Should Be Standard for AI-Based Digital Health
por: Dolin, Pavel, et al.
Publicado: (2025)
por: Dolin, Pavel, et al.
Publicado: (2025)
Unraveling overoptimism and publication bias in ML-driven science
por: Saidi, Pouria, et al.
Publicado: (2024)
por: Saidi, Pouria, et al.
Publicado: (2024)
E-Valuating Classifier Two-Sample Tests
por: Pandeva, Teodora, et al.
Publicado: (2022)
por: Pandeva, Teodora, et al.
Publicado: (2022)
A Semi-Supervised Kernel Two-Sample Test
por: Lee, Gyumin, et al.
Publicado: (2026)
por: Lee, Gyumin, et al.
Publicado: (2026)
Change Point Detection with Copula Entropy based Two-Sample Test
por: Ma, Jian
Publicado: (2024)
por: Ma, Jian
Publicado: (2024)
Kernel Two-Sample Testing via Directional Components Analysis
por: Cui, Rui, et al.
Publicado: (2025)
por: Cui, Rui, et al.
Publicado: (2025)
Boosting the Power of Kernel Two-Sample Tests
por: Chatterjee, Anirban, et al.
Publicado: (2023)
por: Chatterjee, Anirban, et al.
Publicado: (2023)
Minimax-Optimal Two-Sample Test with Sliced Wasserstein
por: Tran, Binh Thuan, et al.
Publicado: (2025)
por: Tran, Binh Thuan, et al.
Publicado: (2025)
A Permutation-free Kernel Two-Sample Test
por: Shekhar, Shubhanshu, et al.
Publicado: (2022)
por: Shekhar, Shubhanshu, et al.
Publicado: (2022)
Predicting Covariate-Driven Spatial Deformation for Nonstationary Gaussian Processes
por: Gu, Minghao, et al.
Publicado: (2026)
por: Gu, Minghao, et al.
Publicado: (2026)
A Scalable Nystrom-Based Kernel Two-Sample Test with Permutations
por: Chatalic, Antoine, et al.
Publicado: (2025)
por: Chatalic, Antoine, et al.
Publicado: (2025)
Label Noise Cleaning for Supervised Classification via Bernoulli Random Sampling
por: Liu, Yuxin, et al.
Publicado: (2026)
por: Liu, Yuxin, et al.
Publicado: (2026)
Machine Learning for Two-Sample Testing under Right-Censored Data: A Simulation Study
por: Philonenko, Petr, et al.
Publicado: (2024)
por: Philonenko, Petr, et al.
Publicado: (2024)
Lost in the Shuffle: Testing Power in the Presence of Errorful Network Vertex Labels
por: Saxena, Ayushi, et al.
Publicado: (2022)
por: Saxena, Ayushi, et al.
Publicado: (2022)
Measuring the Prevalence of Policy Violating Content with ML Assisted Sampling and LLM Labeling
por: Dobi, Attila, et al.
Publicado: (2026)
por: Dobi, Attila, et al.
Publicado: (2026)
Diffusion Models in Simulation-Based Inference: A Tutorial Review
por: Arruda, Jonas, et al.
Publicado: (2025)
por: Arruda, Jonas, et al.
Publicado: (2025)
Distance and Kernel-Based Measures for Global and Local Two-Sample Conditional Distribution Testing
por: Yan, Jian, et al.
Publicado: (2022)
por: Yan, Jian, et al.
Publicado: (2022)
Sample-Efficient Omniprediction for Proper Losses
por: Gibbs, Isaac, et al.
Publicado: (2025)
por: Gibbs, Isaac, et al.
Publicado: (2025)
Asymptotic Validity and Finite-Sample Properties of Approximate Randomization Tests
por: Toulis, Panos
Publicado: (2019)
por: Toulis, Panos
Publicado: (2019)
Incorporating Interventional Independence Improves Robustness against Interventional Distribution Shift
por: Sreekumar, Gautam, et al.
Publicado: (2025)
por: Sreekumar, Gautam, et al.
Publicado: (2025)
Efficient Online Variational Estimation via Monte Carlo Sampling
por: Chagneux, Mathis, et al.
Publicado: (2026)
por: Chagneux, Mathis, et al.
Publicado: (2026)
A Tutorial on Doubly Robust Learning for Causal Inference
por: Hlynsson, Hlynur Davíð
Publicado: (2024)
por: Hlynsson, Hlynur Davíð
Publicado: (2024)
Efficient Targeted Maximum Likelihood Estimators for Two-Phase Design Problems
por: Qiu, Sky, et al.
Publicado: (2026)
por: Qiu, Sky, et al.
Publicado: (2026)
Sample-Efficient "Clustering and Conquer" Procedures for Parallel Large-Scale Ranking and Selection
por: Zhang, Zishi, et al.
Publicado: (2024)
por: Zhang, Zishi, et al.
Publicado: (2024)
Label-shift robust federated feature screening for high-dimensional classification
por: Qin, Qi, et al.
Publicado: (2025)
por: Qin, Qi, et al.
Publicado: (2025)
A Kernel-Based Conditional Two-Sample Test Using Nearest Neighbors (with Applications to Calibration, Regression Curves, and Simulation-Based Inference)
por: Chatterjee, Anirban, et al.
Publicado: (2024)
por: Chatterjee, Anirban, et al.
Publicado: (2024)
Semiparametric Learning from Open-Set Label Shift Data
por: Liu, Siyan, et al.
Publicado: (2025)
por: Liu, Siyan, et al.
Publicado: (2025)
Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
por: Zheng, Fangnan, et al.
Publicado: (2026)
por: Zheng, Fangnan, et al.
Publicado: (2026)
Sampling as Bandits: Evaluation-Efficient Design for Black-Box Densities
por: Matsubara, Takuo, et al.
Publicado: (2025)
por: Matsubara, Takuo, et al.
Publicado: (2025)
Sample Efficient Bayesian Learning of Causal Graphs from Interventions
por: Zhou, Zihan, et al.
Publicado: (2024)
por: Zhou, Zihan, et al.
Publicado: (2024)
Leveraging Optimal Transport for Distributed Two-Sample Testing: An Integrated Transportation Distance-based Framework
por: Lin, Zhengqi, et al.
Publicado: (2025)
por: Lin, Zhengqi, et al.
Publicado: (2025)
Communication-Efficient Federated Learning over Wireless Channels via Gradient Sketching
por: Gattani, Vineet Sunil, et al.
Publicado: (2024)
por: Gattani, Vineet Sunil, et al.
Publicado: (2024)
Causal Inference with Latent Variables: Recent Advances and Future Prospectives
por: Zhu, Yaochen, et al.
Publicado: (2024)
por: Zhu, Yaochen, et al.
Publicado: (2024)
Causality-Encoded Diffusion Models for Interventional Sampling and Edge Inference
por: Chen, Li, et al.
Publicado: (2026)
por: Chen, Li, et al.
Publicado: (2026)
On the Hardness of Conditional Independence Testing In Practice
por: He, Zheng, et al.
Publicado: (2025)
por: He, Zheng, et al.
Publicado: (2025)
Robust Multi-Source Domain Adaptation under Label Shift
por: Xu, Congbin, et al.
Publicado: (2025)
por: Xu, Congbin, et al.
Publicado: (2025)
Beyond ATE: Multi-Criteria Design for A/B Testing
por: Li, Jiachun, et al.
Publicado: (2025)
por: Li, Jiachun, et al.
Publicado: (2025)
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification
por: Lee, Seungyeon, et al.
Publicado: (2024)
por: Lee, Seungyeon, et al.
Publicado: (2024)
Ejemplares similares
-
Active Sequential Two-Sample Testing
por: Li, Weizhi, et al.
Publicado: (2023) -
Matched-Pair Experimental Design with Active Learning
por: Li, Weizhi, et al.
Publicado: (2025) -
Statistically Valid Post-Deployment Monitoring Should Be Standard for AI-Based Digital Health
por: Dolin, Pavel, et al.
Publicado: (2025) -
Unraveling overoptimism and publication bias in ML-driven science
por: Saidi, Pouria, et al.
Publicado: (2024) -
E-Valuating Classifier Two-Sample Tests
por: Pandeva, Teodora, et al.
Publicado: (2022)