Robust Classification of High-Dimensional Data using Data-Adaptive Energy Distance
Fuente:
arXiv
Saved in:
| Main Authors: | Choudhury, Jyotishka Ray, Saha, Aytijhya, Roy, Sarbojit, Dutta, Subhajit |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Post-detection inference for sequential changepoint localization
by: Saha, Aytijhya, et al.
Published: (2025)
by: Saha, Aytijhya, et al.
Published: (2025)
Classification of High-dimensional Time Series in Spectral Domain using Explainable Features
by: Roy, Sarbojit, et al.
Published: (2024)
by: Roy, Sarbojit, et al.
Published: (2024)
Dirichlet Process-based Robust Clustering using the Median-of-Means Estimator
by: Basu, Supratik, et al.
Published: (2023)
by: Basu, Supratik, et al.
Published: (2023)
A Two-Stage Feature Selection Approach for Robust Evaluation of Treatment Effects in High-Dimensional Observational Data
by: Islam, Md Saiful, et al.
Published: (2021)
by: Islam, Md Saiful, et al.
Published: (2021)
Density estimation with atoms, and functional estimation for mixed discrete-continuous data
by: Saha, Aytijhya, et al.
Published: (2025)
by: Saha, Aytijhya, et al.
Published: (2025)
Distribution-free changepoint localization after sequential change detection
by: Saha, Aytijhya, et al.
Published: (2026)
by: Saha, Aytijhya, et al.
Published: (2026)
High-Dimensional Change-Point Detection via Angular Kernel Statistics
by: Choudhury, Jyotishka Ray, et al.
Published: (2026)
by: Choudhury, Jyotishka Ray, et al.
Published: (2026)
Causal Inference with Categorical Unobserved Confounder via Mixture Learning
by: Saha, Aytijhya, et al.
Published: (2026)
by: Saha, Aytijhya, et al.
Published: (2026)
Comparing Foundation Models using Data Kernels
by: Duderstadt, Brandon, et al.
Published: (2023)
by: Duderstadt, Brandon, et al.
Published: (2023)
Unsupervised Pairwise Causal Discovery on Heterogeneous Data using Mutual Information Measures
by: Trilla, Alexandre, et al.
Published: (2024)
by: Trilla, Alexandre, et al.
Published: (2024)
Classification Using Global and Local Mahalanobis Distances
by: Ghosh, Annesha, et al.
Published: (2024)
by: Ghosh, Annesha, et al.
Published: (2024)
A Double Machine Learning Approach to Combining Experimental and Observational Data
by: Parikh, Harsh, et al.
Published: (2023)
by: Parikh, Harsh, et al.
Published: (2023)
Uncertainty Quantification for Prior-Data Fitted Networks using Martingale Posteriors
by: Nagler, Thomas, et al.
Published: (2025)
by: Nagler, Thomas, et al.
Published: (2025)
Federated Causal Inference from Observational Data
by: Vo, Thanh Vinh, et al.
Published: (2023)
by: Vo, Thanh Vinh, et al.
Published: (2023)
Data-Driven Estimation of Heterogeneous Treatment Effects
by: Tran, Christopher, et al.
Published: (2023)
by: Tran, Christopher, et al.
Published: (2023)
Learning DAGs from Data with Few Root Causes
by: Misiakos, Panagiotis, et al.
Published: (2023)
by: Misiakos, Panagiotis, et al.
Published: (2023)
PCS Workflow for Veridical Data Science in the Age of AI
by: Rewolinski, Zachary T., et al.
Published: (2025)
by: Rewolinski, Zachary T., et al.
Published: (2025)
Review for Handling Missing Data with special missing mechanism
by: Zhou, Youran, et al.
Published: (2024)
by: Zhou, Youran, et al.
Published: (2024)
Generative Synthetic Data for Causal Inference: Pitfalls, Remedies, and Opportunities
by: Xu, Yichen
Published: (2026)
by: Xu, Yichen
Published: (2026)
Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version)
by: Filter, Björn, et al.
Published: (2024)
by: Filter, Björn, et al.
Published: (2024)
A Generalized Similarity U Test for Multivariate Analysis of Sequencing Data
by: Wei, Changshuai, et al.
Published: (2015)
by: Wei, Changshuai, et al.
Published: (2015)
A General Causal Inference Framework for Cross-Sectional Observational Data
by: Zhao, Yonghe, et al.
Published: (2024)
by: Zhao, Yonghe, et al.
Published: (2024)
Data-Augmented Few-Shot Neural Emulator for Computer-Model System Identification
by: Jantre, Sanket, et al.
Published: (2025)
by: Jantre, Sanket, et al.
Published: (2025)
A Generalized Genetic Random Field Method for the Genetic Association Analysis of Sequencing Data
by: Li, Ming, et al.
Published: (2025)
by: Li, Ming, et al.
Published: (2025)
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
by: Shen, ChengAo, et al.
Published: (2024)
by: Shen, ChengAo, et al.
Published: (2024)
RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model
by: Li, Peiwen, et al.
Published: (2024)
by: Li, Peiwen, et al.
Published: (2024)
A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series
by: Ma, Zhipeng, et al.
Published: (2024)
by: Ma, Zhipeng, et al.
Published: (2024)
TTCD:Transformer Integrated Temporal Causal Discovery from Non-Stationary Time Series Data
by: Faruque, Omar, et al.
Published: (2026)
by: Faruque, Omar, et al.
Published: (2026)
Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method
by: Han, Kairong, et al.
Published: (2025)
by: Han, Kairong, et al.
Published: (2025)
Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data
by: Garg, Anurag, et al.
Published: (2025)
by: Garg, Anurag, et al.
Published: (2025)
Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
by: Nguyen, Khai, et al.
Published: (2025)
by: Nguyen, Khai, et al.
Published: (2025)
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
by: Reddy, Abbavaram Gowtham, et al.
Published: (2022)
by: Reddy, Abbavaram Gowtham, et al.
Published: (2022)
A Consequentialist Critique of Binary Classification Evaluation: Theory, Practice, and Tools
by: Flores, Gerardo, et al.
Published: (2025)
by: Flores, Gerardo, et al.
Published: (2025)
Causal and Local Correlations Based Network for Multivariate Time Series Classification
by: Du, Mingsen, et al.
Published: (2024)
by: Du, Mingsen, et al.
Published: (2024)
TRUST: Transparent, Robust and Ultra-Sparse Trees
by: Dorador, Albert
Published: (2025)
by: Dorador, Albert
Published: (2025)
The Robustness of Differentiable Causal Discovery in Misspecified Scenarios
by: Yi, Huiyang, et al.
Published: (2025)
by: Yi, Huiyang, et al.
Published: (2025)
Self-Labeling in Multivariate Causality and Quantification for Adaptive Machine Learning
by: Ren, Yutian, et al.
Published: (2024)
by: Ren, Yutian, et al.
Published: (2024)
Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees
by: Park, Sangwoo, et al.
Published: (2025)
by: Park, Sangwoo, et al.
Published: (2025)
Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks
by: Qiu, Yixuan, et al.
Published: (2024)
by: Qiu, Yixuan, et al.
Published: (2024)
Generally-Occurring Model Change for Robust Counterfactual Explanations
by: Xu, Ao, et al.
Published: (2024)
by: Xu, Ao, et al.
Published: (2024)
Similar Items
-
Post-detection inference for sequential changepoint localization
by: Saha, Aytijhya, et al.
Published: (2025) -
Classification of High-dimensional Time Series in Spectral Domain using Explainable Features
by: Roy, Sarbojit, et al.
Published: (2024) -
Dirichlet Process-based Robust Clustering using the Median-of-Means Estimator
by: Basu, Supratik, et al.
Published: (2023) -
A Two-Stage Feature Selection Approach for Robust Evaluation of Treatment Effects in High-Dimensional Observational Data
by: Islam, Md Saiful, et al.
Published: (2021) -
Density estimation with atoms, and functional estimation for mixed discrete-continuous data
by: Saha, Aytijhya, et al.
Published: (2025)