Cover Image

AERO: A Redirection-Based Optimization Framework Inspired by Judo for Robust Probabilistic Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Vaiapury, Karthikeyan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence 62M10, 60G25, 62P30 I.2.6; I.5.1; G.3; J.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Probabilistic Load Forecasting for a Single Household: A Comparative Study from SARIMA to Transformers on the REFIT Dataset
by: Manoj, Midhun
Published: (2025)

Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
by: Cabral, Rafael, et al.
Published: (2024)

Conservative Decisions with Risk Scores
by: Wei, Yishu, et al.
Published: (2025)

Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
by: Wibbeke, Jelke, et al.
Published: (2025)

DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning
by: Tirumala, Aditya Puttaparthi
Published: (2025)

Non-Heuristic Selection via Hybrid Regularized and Machine Learning Models for Insurance
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)

From Data Acquisition to Lag Modeling: Quantitative Exploration of A-Share Market with Low-Coupling System Design
by: Fang, Jianyong, et al.
Published: (2025)

GeMA: Learning Latent Manifold Frontiers for Benchmarking Complex Systems
by: Li, Jia Ming, et al.
Published: (2026)

Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests
by: Loffredo, Giuseppe, et al.
Published: (2025)

TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery
by: Ferdous, Muhammad Hasan, et al.
Published: (2025)

Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations
by: Maturo, Fabrizio, et al.
Published: (2024)

Integration of Structural Equation Modeling and Bayesian Networks in the Context of Causal Inference: A Case Study on Personal Positive Youth Development
by: Benitez, Edgar, et al.
Published: (2024)

An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures
by: Rodríguez-Bocca, Pablo, et al.
Published: (2025)

Data-Driven Discovery of Feature Groups in Clinical Time Series
by: Sergeev, Fedor, et al.
Published: (2025)

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach
by: Sarabi, Ali, et al.
Published: (2025)

Is Causality Necessary for Efficient Portfolios? A Computational Perspective on Predictive Validity and Model Misspecification
by: Dominguez, Alejandro Rodriguez
Published: (2025)

Signature-Kernel Based Evaluation Metrics for Robust Probabilistic and Tail-Event Forecasting
by: Redhead, Benjamin R., et al.
Published: (2026)

A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
by: Ojeda, Sebastian, et al.
Published: (2025)

Intra-tree Column Subsampling Hinders XGBoost Learning of Ratio-like Interactions
by: Pinchuk, Mykola
Published: (2026)

Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
by: Manokhin, Valery, et al.
Published: (2026)

Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood
by: Damato, Stefano, et al.
Published: (2025)

Demystifying Functional Random Forests: Novel Explainability Tools for Model Transparency in High-Dimensional Spaces
by: Maturo, Fabrizio, et al.
Published: (2024)

EEG-EyeTrack: A Benchmark for Time Series and Functional Data Analysis with Open Challenges and Baselines
by: Afonso, Tiago Vasconcelos, et al.
Published: (2025)

Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost
by: Moorthy, Padmavathi
Published: (2025)

Physics-informed machine learning: A mathematical framework with applications to time series forecasting
by: Doumèche, Nathan
Published: (2025)

A Distribution-to-Distribution Neural Probabilistic Forecasting Framework for Dynamical Systems
by: Yang, Tianlin, et al.
Published: (2026)

Multi-layered model-based characterisation of the local-Universe galaxy data from the GAMA survey
by: Dai, Fan, et al.
Published: (2026)

Enriched Functional Tree-Based Classifiers: A Novel Approach Leveraging Derivatives and Geometric Features
by: Maturo, Fabrizio, et al.
Published: (2024)

Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network
by: Ali, Mohammad Wazed, et al.
Published: (2024)

Counterfactual Explanation for Multivariate Time Series Forecasting with Exogenous Variables
by: Kinjo, Keita
Published: (2025)

Conformal Prediction Sets for Next-Token Prediction in Large Language Models: Balancing Coverage Guarantees with Set Efficiency
by: Kotla, Yoshith Roy, et al.
Published: (2025)

A Bayesian Updating Framework for Long-term Multi-Environment Trial Data in Plant Breeding
by: Bark, Stephan, et al.
Published: (2026)

Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models
by: Lai, Shanyan
Published: (2025)

From 'What-is' to 'What-if' in Human-Factor Analysis: A Post-Occupancy Evaluation Case
by: Chen, Xia, et al.
Published: (2025)

Functional Clustering of Discount Functions for Behavioral Investor Profiling
by: Porreca, Annamaria, et al.
Published: (2024)

Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks
by: Høyheim, Eirik, et al.
Published: (2025)

Bayesian Generalized Nonlinear Models Offer Basis Free SINDy With Model Uncertainty
by: Hubin, Aliaksandr
Published: (2025)

FBMS: An R Package for Flexible Bayesian Model Selection and Model Averaging
by: Frommlet, Florian, et al.
Published: (2025)

GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis
by: Heinrichs, Florian
Published: (2024)

SplitWise Regression: Stepwise Modeling with Adaptive Dummy Encoding
by: Kurbucz, Marcell T., et al.
Published: (2025)