Cover Image

LLMs for Cold-Start Cutting Plane Separator Configuration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lawless, Connor, Li, Yingxi, Wikum, Anders, Udell, Madeleine, Vitercik, Ellen
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Algorithms with Calibrated Machine Learning Predictions
by: Shen, Judy Hanwen, et al.
Published: (2025)

MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation
by: Hayderi, Alexandre, et al.
Published: (2024)

EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations
by: Zhai, Haotian, et al.
Published: (2025)

Can LLMs Reason Structurally? Benchmarking via the Lens of Data Structures
by: He, Yu, et al.
Published: (2025)

Understanding Fixed Predictions via Confined Regions
by: Lawless, Connor, et al.
Published: (2025)

Accelerating data-driven algorithm selection for combinatorial partitioning problems
by: Chatziafratis, Vaggos, et al.
Published: (2024)

"It Was a Magical Box": Understanding Practitioner Workflows and Needs in Optimization
by: Lawless, Connor, et al.
Published: (2025)

PDE-SHARP: PDE Solver Hybrids through Analysis and Refinement Passes
by: Fazliani, Shaghayegh, et al.
Published: (2025)

Primal-Dual Neural Algorithmic Reasoning
by: He, Yu, et al.
Published: (2025)

Interpretable Prediction and Feature Selection for Survival Analysis
by: Van Ness, Mike, et al.
Published: (2024)

dnamite: A Python Package for Neural Additive Models
by: Van Ness, Mike, et al.
Published: (2025)

Enhancing Physics-Informed Neural Networks Through Feature Engineering
by: Fazliani, Shaghayegh, et al.
Published: (2025)

SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning
by: Sun, Jingruo, et al.
Published: (2025)

Small Gradient Norm Regret for Online Convex Optimization
by: Gao, Wenzhi, et al.
Published: (2026)

DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models
by: Van Ness, Mike, et al.
Published: (2024)

Bridged Clustering: Semi-Supervised Sparse Bridging
by: Ye, Patrick Peixuan, et al.
Published: (2025)

Smoothed Analysis of Online Metric Matching with a Single Sample: Beyond Metric Distortion
by: Li, Yingxi, et al.
Published: (2025)

Fair Clustering with Minimum Representation Constraints
by: Lawless, Connor, et al.
Published: (2024)

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs
by: Zhao, Yushang, et al.
Published: (2025)

SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints
by: Chu, Ya-Chi, et al.
Published: (2026)

Algorithmic Content Selection and the Impact of User Disengagement
by: Calvano, Emilio, et al.
Published: (2024)

SketchySGD: Reliable Stochastic Optimization via Randomized Curvature Estimates
by: Frangella, Zachary, et al.
Published: (2022)

PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates
by: Frangella, Zachary, et al.
Published: (2023)

Wait-Less Offline Tuning and Re-solving for Online Decision Making
by: Sun, Jingruo, et al.
Published: (2024)

IDProxy: Cold-Start CTR Prediction for Ads and Recommendation at Xiaohongshu with Multimodal LLMs
by: Zhang, Yubin, et al.
Published: (2026)

Gradient Methods with Online Scaling
by: Gao, Wenzhi, et al.
Published: (2024)

Gradient Methods with Online Scaling Part I. Theoretical Foundations
by: Gao, Wenzhi, et al.
Published: (2025)

Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent
by: Chu, Ya-Chi, et al.
Published: (2025)

Gradient Methods with Online Scaling Part II. Practical Aspects
by: Chu, Ya-Chi, et al.
Published: (2025)

Subsampling Graphs with GNN Performance Guarantees
by: Jain, Mika Sarkin, et al.
Published: (2025)

Challenges in Training PINNs: A Loss Landscape Perspective
by: Rathore, Pratik, et al.
Published: (2024)

Bandit Profit-maximization for Targeted Marketing
by: Huh, Joon Suk, et al.
Published: (2024)

ShapeBench: A Scalable Benchmark and Diagnostic Suite for Standardized Evaluation in Aerodynamic Shape Optimization
by: Fazliani, Shaghayegh, et al.
Published: (2026)

New Sequence-Independent Lifting Techniques for Cutting Planes and When They Induce Facets
by: Prasad, Siddharth, et al.
Published: (2024)

Addressing Cold Start For next-article Recommendation
by: Elgohary, Omar, et al.
Published: (2025)

Cold-Start Active Preference Learning in Socio-Economic Domains
by: Fayaz-Bakhsh, Mojtaba, et al.
Published: (2025)

Addressing the Cold-Start Problem for Personalized Combination Drug Screening
by: de Mathelin, Antoine, et al.
Published: (2025)

Smooth Ranking SVM via Cutting-Plane Method
by: Ozcan, Erhan Can, et al.
Published: (2024)

Cold-Start Active Correlation Clustering
by: Aronsson, Linus, et al.
Published: (2025)

From Zero to Hero: Cold-Start Anomaly Detection
by: Reiss, Tal, et al.
Published: (2024)