Saved in:
| Main Authors: | Emami, Seyedsaman, Hernández-Lobato, Daniel, Martínez-Muñoz, Gonzalo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.14231 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust-Multi-Task Gradient Boosting
by: Emami, Seyedsaman, et al.
Published: (2025)
by: Emami, Seyedsaman, et al.
Published: (2025)
Condensed Gradient Boosting
by: Emami, Seyedsaman, et al.
Published: (2022)
by: Emami, Seyedsaman, et al.
Published: (2022)
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
by: Bastounis, Alexander, et al.
Published: (2023)
by: Bastounis, Alexander, et al.
Published: (2023)
The Price of Robustness: Stable Classifiers Need Overparameterization
by: von Berg, Jonas, et al.
Published: (2026)
by: von Berg, Jonas, et al.
Published: (2026)
Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity
by: Barbudo, Rafael, et al.
Published: (2024)
by: Barbudo, Rafael, et al.
Published: (2024)
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
by: Wu, Mingqi, et al.
Published: (2025)
by: Wu, Mingqi, et al.
Published: (2025)
Learning from Imperfect Data: Robust Inference of Dynamic Systems using Simulation-based Generative Model
by: Cho, Hyunwoo, et al.
Published: (2025)
by: Cho, Hyunwoo, et al.
Published: (2025)
Explainable Admission-Level Predictive Modeling for Prolonged Hospital Stay in Elderly Populations: Challenges in Low- and Middle-Income Countries
by: Sierra-Botero, Daniel, et al.
Published: (2026)
by: Sierra-Botero, Daniel, et al.
Published: (2026)
Improving Recursive Transformers with Mixture of LoRAs
by: Nouriborji, Mohammadmahdi, et al.
Published: (2025)
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)
by: Razzetta, Chiara, et al.
Published: (2025)
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees
by: Tyukin, Ivan Y., et al.
Published: (2024)
by: Tyukin, Ivan Y., et al.
Published: (2024)
RLGT: A reinforcement learning framework for extremal graph theory
by: Damnjanović, Ivan, et al.
Published: (2026)
by: Damnjanović, Ivan, et al.
Published: (2026)
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
by: Lai, Guannan, et al.
Published: (2025)
by: Lai, Guannan, et al.
Published: (2025)
Bounds on the Generalization Error in Active Learning
by: Menden, Vincent, et al.
Published: (2024)
by: Menden, Vincent, et al.
Published: (2024)
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
by: Gopalan, Parikshit, et al.
Published: (2023)
by: Gopalan, Parikshit, et al.
Published: (2023)
Differentiated Information Mining: A Semi-supervised Learning Framework for GNNs
by: Wang, Long, et al.
Published: (2025)
by: Wang, Long, et al.
Published: (2025)
Automated Feature Selection for Inverse Reinforcement Learning
by: Baimukashev, Daulet, et al.
Published: (2024)
by: Baimukashev, Daulet, et al.
Published: (2024)
Learning in Function Spaces: An Unified Functional Analytic View of Supervised and Unsupervised Learning
by: Lakshmanan, K.
Published: (2026)
by: Lakshmanan, K.
Published: (2026)
Observation-dependent Bayesian active learning via input-warped Gaussian processes
by: Jarl, Sanna, et al.
Published: (2026)
by: Jarl, Sanna, et al.
Published: (2026)
A Predicting Phishing Websites Using Support Vector Machine and MultiClass Classification Based on Association Rule Techniques
by: Woods, Nancy C., et al.
Published: (2025)
by: Woods, Nancy C., et al.
Published: (2025)
Graph in Graph Neural Network
by: Wang, Jiongshu, et al.
Published: (2024)
by: Wang, Jiongshu, et al.
Published: (2024)
NVIDIA AI Aerial: AI-Native Wireless Communications
by: Cohen-Arazi, Kobi, et al.
Published: (2025)
by: Cohen-Arazi, Kobi, et al.
Published: (2025)
Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks
by: Fatemi, Michael Y., et al.
Published: (2024)
by: Fatemi, Michael Y., et al.
Published: (2024)
Constraint Breeds Generalization: Temporal Dynamics as an Inductive Bias
by: Chen, Xia
Published: (2025)
by: Chen, Xia
Published: (2025)
CATCHFed: Efficient Unlabeled Data Utilization for Semi-Supervised Federated Learning in Limited Labels Environments
by: Park, Byoungjun, et al.
Published: (2025)
by: Park, Byoungjun, et al.
Published: (2025)
Reducing Variance Caused by Communication in Decentralized Multi-agent Deep Reinforcement Learning
by: Zhu, Changxi, et al.
Published: (2025)
by: Zhu, Changxi, et al.
Published: (2025)
Convex Low-resource Accent-Robust Language Detection in Speech Recognition
by: Feng, Miria, et al.
Published: (2026)
by: Feng, Miria, et al.
Published: (2026)
DQN Performance with Epsilon Greedy Policies and Prioritized Experience Replay
by: Perkins, Daniel, et al.
Published: (2025)
by: Perkins, Daniel, et al.
Published: (2025)
Contrastive Mutual Information Learning: Toward Robust Representations without Positive-Pair Augmentations
by: Livne, Micha
Published: (2025)
by: Livne, Micha
Published: (2025)
Hard Samples, Bad Labels: Robust Loss Functions That Know When to Back Off
by: Pellegrino, Nicholas, et al.
Published: (2025)
by: Pellegrino, Nicholas, et al.
Published: (2025)
From Point to probabilistic gradient boosting for claim frequency and severity prediction
by: Chevalier, Dominik, et al.
Published: (2024)
by: Chevalier, Dominik, et al.
Published: (2024)
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression
by: Shen, Guohao, et al.
Published: (2023)
by: Shen, Guohao, et al.
Published: (2023)
Deep Reinforcement Learning Xiangqi Player with Monte Carlo Tree Search
by: Yilmaz, Berk, et al.
Published: (2025)
by: Yilmaz, Berk, et al.
Published: (2025)
Convergence Dynamics and Stabilization Strategies of Co-Evolving Generative Models
by: Gao, Weiguo, et al.
Published: (2025)
by: Gao, Weiguo, et al.
Published: (2025)
Artificial neural networks ensemble methodology to predict significant wave height
by: Minuzzi, Felipe Crivellaro, et al.
Published: (2025)
by: Minuzzi, Felipe Crivellaro, et al.
Published: (2025)
Hodge Laplacians and Hodge Diffusion Maps
by: Gomez, Alvaro Almeida, et al.
Published: (2025)
by: Gomez, Alvaro Almeida, et al.
Published: (2025)
Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models
by: Lashkari, Mohammad, et al.
Published: (2024)
by: Lashkari, Mohammad, et al.
Published: (2024)
Improving Credit Card Fraud Detection with an Optimized Explainable Boosting Machine
by: Fazel, Reza E., et al.
Published: (2026)
by: Fazel, Reza E., et al.
Published: (2026)
When Redundancy Matters: Machine Teaching of Representations
by: Ferri, Cèsar, et al.
Published: (2024)
by: Ferri, Cèsar, et al.
Published: (2024)
Parameter-free entropy-regularized multi-view clustering with hierarchical feature selection
by: Sinaga, Kristina P., et al.
Published: (2025)
by: Sinaga, Kristina P., et al.
Published: (2025)
Similar Items
-
Robust-Multi-Task Gradient Boosting
by: Emami, Seyedsaman, et al.
Published: (2025) -
Condensed Gradient Boosting
by: Emami, Seyedsaman, et al.
Published: (2022) -
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
by: Bastounis, Alexander, et al.
Published: (2023) -
The Price of Robustness: Stable Classifiers Need Overparameterization
by: von Berg, Jonas, et al.
Published: (2026) -
Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity
by: Barbudo, Rafael, et al.
Published: (2024)