Copertina

LOFA: Online Influence Maximization under Full-Bandit Feedback using Lazy Forward Selection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xu, Jinyu, Umrawal, Abhishek K.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence Social and Information Networks 05C90, 60J60, 68R05, 68R10, 68T05, 90C27, 90C35 E.1; F.2.2; G.1.6; G.2.1; G.2.2; G.3; I.2.0; I.2.6; J.4
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Community-Aware Framework for Influence Maximization with Explicit Accounting for Inter-Community Influence
di: Robson, Eliot W., et al.
Pubblicazione: (2025)

Fractional Budget Allocation for Influence Maximization under General Marketing Strategies
di: Bhimaraju, Akhil, et al.
Pubblicazione: (2024)

A Pressure-Based Diffusion Model for Influence Maximization on Social Networks
di: Stutsman, Curt, et al.
Pubblicazione: (2025)

CyNetDiff -- A Python Library for Accelerated Implementation of Network Diffusion Models
di: Robson, Eliot W., et al.
Pubblicazione: (2024)

Explicit Solution Equation for Every Combinatorial Problem via Tensor Networks: MeLoCoToN
di: Ali, Alejandro Mata
Pubblicazione: (2025)

Dual-Channel Feature Fusion for Joint Prediction in Dynamic Signed Weighted Networks
di: Zhang, Gaoxin, et al.
Pubblicazione: (2026)

Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits
di: Murray, Michael, et al.
Pubblicazione: (2025)

PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
di: Tang, Bo, et al.
Pubblicazione: (2022)

The classification of minimally unsatisfiable 2-CNFs -- a fundamental study
di: Abbasizanjani, Hoda, et al.
Pubblicazione: (2020)

The partial gossip problem revisited
di: Kokhas, Konstantin, et al.
Pubblicazione: (2026)

Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification
di: Ueda, Ryota, et al.
Pubblicazione: (2025)

Optimizing Donor Outreach for Blood Collection Sessions: A Scalable Decision Support Framework
di: Carneiro, André, et al.
Pubblicazione: (2026)

Greedy and randomized heuristics for optimization of k-domination models in digraphs and road networks
di: Dijkstra, Lukas, et al.
Pubblicazione: (2024)

Multi-Party Multi-Objective Optimization as Consensus Search: Runtime Analysis of Cross-Party Recombination
di: Fang, Xiaolei, et al.
Pubblicazione: (2026)

Enhancing Model Based Derivative Free Optimization using Direct Search
di: Li, Zijun, et al.
Pubblicazione: (2026)

Metric Dimension and Resolvability of Jaccard Spaces
di: Lladser, Manuel E., et al.
Pubblicazione: (2024)

A Fast 3-Approximation for the Capacitated Tree Cover Problem with Edge Loads
di: Rockel-Wolff, Benjamin
Pubblicazione: (2024)

Dynamic resource matching in manufacturing using deep reinforcement learning
di: Panda, Saunak Kumar, et al.
Pubblicazione: (2026)

The Geometry of Thought: Disclosing the Transformer as a Tropical Polynomial Circuit
di: Alpay, Faruk, et al.
Pubblicazione: (2026)

Iterative Exploration-Driven Sparse SDP Clustering via Thompson Sampling
di: Mun, Jongmin, et al.
Pubblicazione: (2025)

Hybrid LLM and Higher-Order Quantum Approximate Optimization for CSA Collateral Management
di: Jin, Tao, et al.
Pubblicazione: (2025)

Introducing COGENT3: An AI Architecture for Emergent Cognition
di: Salazar, Eduardo
Pubblicazione: (2025)

How Local Separators Shape Community Structure in Large Networks
di: Frenkel, Sarah, et al.
Pubblicazione: (2025)

P vs NP Problem in Portfolio Optimization: Integrating the Markowitz-CAPM Framework with Cardinality Constraints and Black-Scholes Derivative Pricing
di: Gondauri, Davit
Pubblicazione: (2026)

Turnpike with Uncertain Measurements: Triangle-Equality ILP with a Deterministic Recovery Guarantee
di: Elder, C. S., et al.
Pubblicazione: (2026)

Amazon Locker Capacity Management
di: Sethuraman, Samyukta, et al.
Pubblicazione: (2023)

Census Dual Graphs: Properties and Random Graph Models
di: Anderson, Sara, et al.
Pubblicazione: (2026)

Scaling Higher-Order Graph Learning with Maximal Clique Complexes
di: Vialle, Antoine, et al.
Pubblicazione: (2026)

Primal-Dual Sample Complexity Bounds for Constrained Markov Decision Processes with Multiple Constraints
di: Buckley, Max, et al.
Pubblicazione: (2025)

Adaptive Conditional Forest Sampling for Spectral Risk Optimisation under Decision-Dependent Uncertainty
di: Kurbucz, Marcell T.
Pubblicazione: (2026)

Drift and selection in LLM text ecosystems
di: Riis, Søren
Pubblicazione: (2026)

An improved approximation algorithm for k-Median
di: Young, Neal E.
Pubblicazione: (2025)

Reinterpreting EMML as Mirror Descent for Constrained Maximum Likelihood Estimation
di: Clerc, Antonin, et al.
Pubblicazione: (2026)

Escaping Saddle Points via Curvature-Calibrated Perturbations: A Complete Analysis with Explicit Constants and Empirical Validation
di: Alpay, Faruk, et al.
Pubblicazione: (2025)

Approximation algorithms for the prize-collecting rural postman problem
di: Li, Hong, et al.
Pubblicazione: (2026)

Vanishing L2 regularization for the softmax Multi Armed Bandit
di: Anita, Stefana-Lucia, et al.
Pubblicazione: (2026)

Caterpillar GNN: Replacing Message Passing with Efficient Aggregation
di: Černý, Marek
Pubblicazione: (2025)

Homomorphism Counts to Trees
di: Dawar, Anuj
Pubblicazione: (2024)

Golden Ratio Growth and Phase Transitions in Chromatic Counts of Circular Chord Graphs
di: Lopez-Bonilla, Rogelio N., et al.
Pubblicazione: (2025)

A Graph-Based Framework for Exploring Mathematical Patterns in Physics: A Proof of Concept
di: Romiti, Massimiliano
Pubblicazione: (2025)