Cover Image

A Switching Framework for Online Interval Scheduling with Predictions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Antoniadis, Antonios, Shahheidar, Ali, Shahkarami, Golnoosh, Soltani, Abolfazl
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Approximation Algorithms for Combinatorial Optimization with Predictions
by: Antoniadis, Antonios, et al.
Published: (2024)

Metric Distortion in Peer Selection
by: Cembrano, Javier, et al.
Published: (2025)

Randomized Strategic Facility Location with Predictions
by: Balkanski, Eric, et al.
Published: (2024)

Estimation of High-Dimensional Markov-Switching VAR Models with an Approximate EM Algorithm
by: Li, Xiudi, et al.
Published: (2022)

Data as a Lever: A Neighbouring Datasets Perspective on Predictive Multiplicity
by: Ganesh, Prakhar, et al.
Published: (2025)

Bi-Level Online Provisioning and Scheduling with Switching Costs and Cross-Level Constraints
by: Liu, Jialei, et al.
Published: (2026)

SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals
by: Azizi, Ilia, et al.
Published: (2024)

Comparative Analysis of LSTM Neural Networks and Traditional Machine Learning Models for Predicting Diabetes Patient Readmission
by: Zarghani, Abolfazl
Published: (2024)

Online Learning for Supervisory Switching Control
by: Sun, Haoyuan, et al.
Published: (2026)

Beyond Prediction: Interval Neural Networks for Uncertainty-Aware System Identification
by: Ferah, Mehmet Ali, et al.
Published: (2026)

Logical Grammar Induction via Graph Kolmogorov Complexity: A Neuro-Symbolic Framework for Self-Healing Clinical Data Integrity
by: Zarghani, Abolfazl, et al.
Published: (2026)

Pretraining Transformer-Based Models on Diffusion-Generated Synthetic Graphs for Alzheimer's Disease Prediction
by: Moslemi, Abolfazl, et al.
Published: (2025)

Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs
by: Ryabchenko, Alexander, et al.
Published: (2025)

Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes
by: Moon, Sang Bin, et al.
Published: (2024)

Boosted Conformal Prediction Intervals
by: Xie, Ran, et al.
Published: (2024)

An Event-centric Framework for Predicting Crime Hotspots with Flexible Time Intervals
by: Jin, Jiahui, et al.
Published: (2024)

Online Packet Scheduling with Deadlines and Learning
by: Genalti, Gianmarco, et al.
Published: (2026)

LoRA Provides Differential Privacy by Design via Random Sketching
by: Malekmohammadi, Saber, et al.
Published: (2024)

MODL: Multilearner Online Deep Learning
by: Valkanas, Antonios, et al.
Published: (2024)

Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing
by: Kassem, Aly M., et al.
Published: (2025)

Regression Trees for Fast and Adaptive Prediction Intervals
by: Cabezas, Luben M. C., et al.
Published: (2024)

From Fragile to Certified: Wasserstein Audits of Group Fairness Under Distribution Shift
by: Ehyaei, Ahmad-Reza, et al.
Published: (2025)

Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport
by: Ehyaei, Ahmad-Reza, et al.
Published: (2025)

Wasserstein Distributionally Robust Optimization Through the Lens of Structural Causal Models and Individual Fairness
by: Ehyaei, Ahmad-Reza, et al.
Published: (2025)

Understanding the role of depth in the neural tangent kernel for overparameterized neural networks
by: St-Arnaud, William, et al.
Published: (2025)

MoDE-Boost: Boosting Shared Mobility Demand with Edge-Ready Prediction Models
by: Tziorvas, Antonios, et al.
Published: (2026)

Adaptive Conformal Prediction Intervals Over Trajectory Ensembles
by: Li, Ruipu, et al.
Published: (2025)

Individualised Counterfactual Examples Using Conformal Prediction Intervals
by: Adams, James M., et al.
Published: (2025)

Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning
by: Ganesh, Prakhar, et al.
Published: (2025)

Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
by: Pouplin, Thomas, et al.
Published: (2024)

Fast Conformal Prediction using Conditional Interquantile Intervals
by: Guo, Naixin, et al.
Published: (2026)

Guaranteed Coverage Prediction Intervals with Gaussian Process Regression
by: Papadopoulos, Harris
Published: (2023)

Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity
by: Ganesh, Prakhar, et al.
Published: (2026)

Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval
by: Yang, Wenhao, et al.
Published: (2025)

Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervals
by: Koklu, Ata, et al.
Published: (2024)

Prediction Intervals for Individual Treatment Effects in a Multiple Decision Point Framework using Conformal Inference
by: Bose, Swaraj, et al.
Published: (2025)

On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals
by: Coppola, Rudi, et al.
Published: (2025)

Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series
by: Yang, Zitong, et al.
Published: (2024)

Distortion of Multi-Winner Elections on the Line Metric: The Polar Comparison Rule
by: Babashah, Negar, et al.
Published: (2024)

Deadline-Aware Online Scheduling for LLM Fine-Tuning with Spot Market Predictions
by: Kong, Linggao, et al.
Published: (2025)