Cover Image

Learning in Function Spaces: An Unified Functional Analytic View of Supervised and Unsupervised Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Lakshmanan, K.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning 68T05
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Function-Space Stability Boundary for Generalization in Interpolating Learning Systems
by: Katende, Ronald
Published: (2026)

CATCHFed: Efficient Unlabeled Data Utilization for Semi-Supervised Federated Learning in Limited Labels Environments
by: Park, Byoungjun, et al.
Published: (2025)

Debiasing Machine Learning Models by Using Weakly Supervised Learning
by: Brotto, Renan D. B., et al.
Published: (2024)

Unsupervised Ensemble Learning Through Deep Energy-based Models
by: Maymon, Ariel, et al.
Published: (2026)

Reinforcement Learning the Chromatic Symmetric Function
by: Bérczi, Gergely, et al.
Published: (2024)

Consolidation-Expansion Operator Mechanics:A Unified Framework for Adaptive Learning
by: Guha, Debashis
Published: (2026)

The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
by: Bastounis, Alexander, et al.
Published: (2023)

Bounds on the Generalization Error in Active Learning
by: Menden, Vincent, et al.
Published: (2024)

Automated Feature Selection for Inverse Reinforcement Learning
by: Baimukashev, Daulet, et al.
Published: (2024)

Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks
by: Fatemi, Michael Y., et al.
Published: (2024)

Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
by: Gopalan, Parikshit, et al.
Published: (2023)

Reducing Variance Caused by Communication in Decentralized Multi-agent Deep Reinforcement Learning
by: Zhu, Changxi, et al.
Published: (2025)

Differentiated Information Mining: A Semi-supervised Learning Framework for GNNs
by: Wang, Long, et al.
Published: (2025)

Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees
by: Tyukin, Ivan Y., et al.
Published: (2024)

Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models
by: Lashkari, Mohammad, et al.
Published: (2024)

Contrastive MIM: A Contrastive Mutual Information Framework for Unified Generative and Discriminative Representation Learning
by: Livne, Micha
Published: (2025)

Functional Graphs for Predicting and Explaining Goal Failure in Sparse Goal-Conditioned RL
by: Dash, Shalley
Published: (2026)

Reciprocal Learning
by: Rodemann, Julian, et al.
Published: (2024)

Deep Reinforcement Learning Xiangqi Player with Monte Carlo Tree Search
by: Yilmaz, Berk, et al.
Published: (2025)

Generalized Functional ANOVA in Closed-Form: A Unified View of Additive Explanations
by: Ferrere, Baptiste, et al.
Published: (2026)

Truncated Kernel Stochastic Gradient Descent with General Losses and Spherical Radial Basis Functions
by: Bai, Jinhui, et al.
Published: (2025)

Credal Bayesian Deep Learning
by: Caprio, Michele, et al.
Published: (2023)

Correction and Corruption: A Two-Rate View of Error Flow in LLM Protocols
by: Reitich, Fernando
Published: (2026)

Time Series Analysis by State Space Learning
by: Ramos, André, et al.
Published: (2024)

Data structure > labels? Unsupervised heuristics for SVM hyperparameter estimation
by: Cholewa, Michał, et al.
Published: (2021)

A Predicting Phishing Websites Using Support Vector Machine and MultiClass Classification Based on Association Rule Techniques
by: Woods, Nancy C., et al.
Published: (2025)

Hard Samples, Bad Labels: Robust Loss Functions That Know When to Back Off
by: Pellegrino, Nicholas, et al.
Published: (2025)

Pushdown Reward Machines for Reinforcement Learning
by: Varricchione, Giovanni, et al.
Published: (2025)

Quality Issues in Machine Learning Software Systems
by: Côté, Pierre-Olivier, et al.
Published: (2023)

PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
by: Wu, Mingqi, et al.
Published: (2025)

Featured Reproducing Kernel Banach Spaces for Learning and Neural Networks
by: de la Higuera, Isabel, et al.
Published: (2026)

Grouped Sequential Optimization Strategy -- the Application of Hyperparameter Importance Assessment in Deep Learning
by: Wang, Ruinan, et al.
Published: (2025)

A Framework for Scalable Heterogeneous Multi-Agent Adversarial Reinforcement Learning in IsaacLab
by: Peterson, Isaac, et al.
Published: (2025)

Improving Recursive Transformers with Mixture of LoRAs
by: Nouriborji, Mohammadmahdi, et al.
Published: (2025)

AI-based modular warning machine for risk identification in proximity healthcare
by: Razzetta, Chiara, et al.
Published: (2025)

BatteryML:An Open-source platform for Machine Learning on Battery Degradation
by: Zhang, Han, et al.
Published: (2023)

Recognition of Geometrical Shapes by Dictionary Learning
by: Köhler, Alexander, et al.
Published: (2025)

Reinforcement Learning with Action-Triggered Observations
by: Ryabchenko, Alexander, et al.
Published: (2025)

Reinforcement Learning for Stock Transactions
by: Zhou, Ziyi, et al.
Published: (2025)

Fair Sufficient Representation Learning
by: Zhou, Xueyu, et al.
Published: (2025)