Ellen Vitercik
19 papers · 2016–2025 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(17)
Optimization & Theory
(16)
Mathematics & Optimization
(13)
Optimization
(13)
Artificial Intelligence
(3)
Computer Science
(3)
Foundations
(3)
Deep Learning
(2)
Application Areas
(2)
Architectures
(2)
Core AI
(2)
Learning Types
(2)
Core Methods
(1)
Learning Paradigms
(1)
Mathematics
(1)
Keywords
learning theory
(6)
integer programming
(4)
sample complexity
(4)
combinatorial optimization
(3)
algorithm configuration
(3)
cutting plane
(3)
branch and bound
(2)
online algorithm
(2)
graph neural network
(2)
tree search
(2)
regret bound
(2)
algorithm selection
(2)
empirical risk minimization
(1)
hyperparameter optimization
(1)
mechanism design
(1)
constrained optimization
(1)
calibration
(1)
fourier analysis
(1)
derivative-free optimization
(1)
bayesian inference
(1)
Papers
Algorithms with Calibrated Machine Learning Predictions
ICML 2025
EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations
ICML 2025
New Sequence-Independent Lifting Techniques for Cover Inequalities and When They Induce Facets
IJCAI 2025
Primal-Dual Neural Algorithmic Reasoning
ICML 2025
Wait-Less Offline Tuning and Re-solving for Online Decision Making
ICML 2025
MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation
ICML 2024
No-Regret Learning in Partially-Informed Auctions
ICML 2022
Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts
NeurIPS 2022
Generalization in Portfolio-Based Algorithm Selection
AAAI 2021
Private optimization without constraint violations
AISTATS 2021
Revenue maximization via machine learning with noisy data
NeurIPS 2021
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond
NeurIPS 2021
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees
AAAI 2020
Refined bounds for algorithm configuration: The knife-edge of dual class approximability
ICML 2020
Learning to Prune: Speeding up Repeated Computations
COLT 2019
Learning to Branch
ICML 2018
Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems
COLT 2017
Learning Combinatorial Functions from Pairwise Comparisons
COLT 2016
Sample Complexity of Automated Mechanism Design
NeurIPS 2016