Cover Image

Cascaded Transfer: Learning Many Tasks under Budget Constraints

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Campagne, Eloi, Amara-Ouali, Yvenn, Goude, Yannig, Mougeot, Mathilde, Kalogeratos, Argyris
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Graph Neural Networks to Forecast Electricity Consumption
by: Campagne, Eloi, et al.
Published: (2024)

Graph Neural Networks for Electricity Load Forecasting
by: Campagne, Eloi, et al.
Published: (2025)

Spatio-temporal modelling of electric vehicle charging demand
by: Bouaachra, Kaoutar, et al.
Published: (2026)

Dual-Criterion Curriculum Learning: Application to Temporal Data
by: Abel, Gaspard, et al.
Published: (2026)

Conformal Prediction for Hierarchical Data
by: Principato, Guillaume, et al.
Published: (2024)

Towards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France
by: Lindas, Eloi, et al.
Published: (2025)

Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France
by: Lindas, Eloi, et al.
Published: (2025)

Hedging Memory Horizons for Non-Stationary Prediction via Online Aggregation
by: Wang, Yutong, et al.
Published: (2026)

Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge
by: Amara-Ouali, Yvenn, et al.
Published: (2023)

Enhancing LIME using Neural Decision Trees
by: Bouyahia, Mohamed Aymen, et al.
Published: (2026)

Multi-view diffusion geometry using intertwined diffusion trajectories
by: Debaussart-Joniec, Gwendal, et al.
Published: (2025)

Forecasting time series with constraints
by: Doumèche, Nathan, et al.
Published: (2025)

Stein Boltzmann Sampling: A Variational Approach for Global Optimization
by: Serré, Gaëtan, et al.
Published: (2024)

Optimal Fair Aggregation of Crowdsourced Noisy Labels using Demographic Parity Constraints
by: Singer, Gabriel, et al.
Published: (2026)

Collaborative non-parametric two-sample testing
by: de la Concha, Alejandro, et al.
Published: (2024)

Collaborative likelihood-ratio estimation over graphs
by: de la Concha, Alejandro, et al.
Published: (2022)

Parametrized Power-Iteration Clustering for Directed Graphs
by: Debaussart-Joniec, Gwendal, et al.
Published: (2022)

Correcting Source Mismatch in Flow Matching with Radial-Angular Transport
by: Oubari, Fouad, et al.
Published: (2026)

Offline detection of change-points in the mean for stationary graph signals
by: de la Concha, Alejandro, et al.
Published: (2020)

Generative Unsupervised Downscaling of Climate Models via Domain Alignment: Application to Wind Fields
by: Keisler, Julie, et al.
Published: (2026)

SerpentFlow: Generative Unpaired Domain Alignment via Shared-Structure Decomposition
by: Keisler, Julie, et al.
Published: (2026)

Generalized Dirichlet Energy and Graph Laplacians for Clustering Directed and Undirected Graphs
by: Sevi, Harry, et al.
Published: (2022)

Uncovering Social Network Activity Using Joint User and Topic Interaction
by: Abel, Gaspard, et al.
Published: (2025)

Optimal Policy Learning under Budget and Coverage Constraints
by: Cerulli, Giovanni
Published: (2026)

Deep Generative Methods and Tire Architecture Design
by: Oubari, Fouad, et al.
Published: (2025)

Adaptive LLM Routing under Budget Constraints
by: Panda, Pranoy, et al.
Published: (2025)

Online Decision Deferral under Budget Constraints
by: Reid, Mirabel, et al.
Published: (2024)

BN-SCAFFOLD: controlling the drift of Batch Normalization statistics in Federated Learning
by: Quintana, Gonzalo Iñaki, et al.
Published: (2024)

Efficient stream-based Max-Min diversification with minimal failure rate
by: Kalogeratos, Argyris, et al.
Published: (2020)

Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization
by: de Mathelin, Antoine, et al.
Published: (2023)

Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application
by: Quintana, Gonzalo Iñaki, et al.
Published: (2025)

A Markov Random Field Multi-Modal Variational AutoEncoder
by: Oubari, Fouad, et al.
Published: (2024)

Multi-Component VAE with Gaussian Markov Random Field
by: Oubari, Fouad, et al.
Published: (2025)

Online Learning under Budget and ROI Constraints via Weak Adaptivity
by: Castiglioni, Matteo, et al.
Published: (2023)

Geometry-aware framework for deep energy method: an application to structural mechanics with hyperelastic materials
by: Nguyen, Thi Nguyen Khoa, et al.
Published: (2024)

OneBatchPAM: A Fast and Frugal K-Medoids Algorithm
by: de Mathelin, Antoine, et al.
Published: (2025)

ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints
by: Morato, Pablo G., et al.
Published: (2025)

Learning with a Budget: Identifying the Best Arm with Resource Constraints
by: Li, Zitian, et al.
Published: (2026)

An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints
by: Kim, Jung-hun, et al.
Published: (2024)

Star Elastic: Many-in-One Reasoning LLMs with Efficient Budget Control
by: Taghibakhshi, Ali, et al.
Published: (2026)