Copertina

Towards a General Recipe for Combinatorial Optimization with Multi-Filter GNNs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wenkel, Frederik, Cantürk, Semih, Horoi, Stefan, Perlmutter, Michael, Wolf, Guy
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Discrete Mathematics 68T07 (Primary) 68T20, 90C35, 05C62 (Secondary) F.2.2; I.2.6
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Can Computational Reducibility Lead to Transferable Models for Graph Combinatorial Optimization?
di: Cantürk, Semih, et al.
Pubblicazione: (2026)

Transport, Don't Generate: Deterministic Geometric Flows for Combinatorial Optimization
di: Friedmann, Benjy, et al.
Pubblicazione: (2026)

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

SAGE: Sign-Adaptive Gradient for Memory-Efficient LLM Optimization
di: Lee, Wooin, et al.
Pubblicazione: (2026)

When Do Early-Exit Networks Generalize? A PAC-Bayesian Theory of Adaptive Depth
di: Guo, Dongxin, et al.
Pubblicazione: (2026)

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

optimize_anything: A Universal API for Optimizing any Text Parameter
di: Agrawal, Lakshya A, et al.
Pubblicazione: (2026)

SCOPE: Selective Conformal Optimized Pairwise LLM Judging
di: Badshah, Sher, et al.
Pubblicazione: (2026)

Understanding Reinforcement Learning for Model Training, and future directions with GRAPE
di: Patel, Rohit
Pubblicazione: (2025)

Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
di: Du, Jin, et al.
Pubblicazione: (2025)

Towards Single Exponential Time for Temporal and Spatial Reasoning: A Study via Redundancy and Dynamic Programming
di: Lagerkvist, Victor, et al.
Pubblicazione: (2026)

Machine Learning Algorithms for Improving Black Box Optimization Solvers
di: Kimiaei, Morteza, et al.
Pubblicazione: (2025)

UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees
di: Chanda, Prateek, et al.
Pubblicazione: (2026)

Singularity-aware Optimization via Randomized Geometric Probing: Towards Stable Non-smooth Optimization
di: Xu, Ruoran, et al.
Pubblicazione: (2026)

Maximizing Rollout Informativeness under a Fixed Budget: A Submodular View of Tree Search for Tool-Use Agentic Reinforcement Learning
di: Hu, Yuelin, et al.
Pubblicazione: (2026)

ProactBench: Beyond What The User Asked For
di: Harfi, Sepehr, et al.
Pubblicazione: (2026)

Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation
di: Osman, Asim, et al.
Pubblicazione: (2026)

Enhancing Diversity in Multi-objective Feature Selection
di: Miyandoab, Sevil Zanjani, et al.
Pubblicazione: (2024)

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

Causal Direction from Convergence Time: Faster Training in the True Causal Direction
di: Tamim, Abdulrahman
Pubblicazione: (2026)

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

Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning
di: Troxell, David, et al.
Pubblicazione: (2026)

BLISS: Bandit Layer Importance Sampling Strategy for Efficient Training of Graph Neural Networks
di: Alsaqa, Omar, et al.
Pubblicazione: (2025)

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

Robustness in Large Language Models: A Survey of Mitigation Strategies and Evaluation Metrics
di: Kumar, Pankaj, et al.
Pubblicazione: (2025)

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

Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents
di: Tiwari, Dhruv
Pubblicazione: (2025)

From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
di: Yamchote, Phaphontee, et al.
Pubblicazione: (2025)

Multi-Agent Decision-Focused Learning via Value-Aware Sequential Communication
di: Amoh, Benjamin, et al.
Pubblicazione: (2026)

Robustness, Cost, and Attack-Surface Concentration in Phishing Detection
di: Allagan, Julian, et al.
Pubblicazione: (2026)

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward
di: Fang, Jiawei, et al.
Pubblicazione: (2025)

Latent Sculpting for Zero-Shot Generalization: A Manifold Learning Approach to Out-of-Distribution Anomaly Detection
di: Chhetri, Rajeeb Thapa, et al.
Pubblicazione: (2025)

A Systematic Approach to Crossing Numbers of Cartesian Products with Paths
di: Asiri, Zayed, et al.
Pubblicazione: (2024)

J6: Jacobian-Driven Role Attribution for Multi-Objective Prompt Optimization in LLMs
di: Wu, Yao
Pubblicazione: (2025)

Less is More: Strategic Expert Selection Outperforms Ensemble Complexity in Traffic Forecasting
di: Guettala, Walid, et al.
Pubblicazione: (2025)

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

When Are Two RLHF Objectives the Same?
di: Gaikwad, Madhava
Pubblicazione: (2025)

Functional Similarity Metric for Neural Networks: Overcoming Parametric Ambiguity via Activation Region Analysis
di: Hennadii, Kutomanov
Pubblicazione: (2026)

Bicriteria Submodular Maximization
di: Feldman, Moran, et al.
Pubblicazione: (2025)

CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
di: Du, Wenzhang
Pubblicazione: (2025)