Picture for Paul Grigas

Paul Grigas

Max

Beyond Discretization: Learning the Optimal Solution Path

Add code
Oct 18, 2024
Viaarxiv icon

Binary Classification with Instance and Label Dependent Label Noise

Add code
Jun 06, 2023
Viaarxiv icon

Active Learning in the Predict-then-Optimize Framework: A Margin-Based Approach

Add code
May 11, 2023
Viaarxiv icon

Online Contextual Decision-Making with a Smart Predict-then-Optimize Method

Add code
Jun 15, 2022
Figure 1 for Online Contextual Decision-Making with a Smart Predict-then-Optimize Method
Figure 2 for Online Contextual Decision-Making with a Smart Predict-then-Optimize Method
Viaarxiv icon

Integrated Conditional Estimation-Optimization

Add code
Oct 24, 2021
Figure 1 for Integrated Conditional Estimation-Optimization
Figure 2 for Integrated Conditional Estimation-Optimization
Figure 3 for Integrated Conditional Estimation-Optimization
Viaarxiv icon

Risk Bounds and Calibration for a Smart Predict-then-Optimize Method

Add code
Aug 19, 2021
Figure 1 for Risk Bounds and Calibration for a Smart Predict-then-Optimize Method
Figure 2 for Risk Bounds and Calibration for a Smart Predict-then-Optimize Method
Figure 3 for Risk Bounds and Calibration for a Smart Predict-then-Optimize Method
Viaarxiv icon

Joint Online Learning and Decision-making via Dual Mirror Descent

Add code
Apr 20, 2021
Figure 1 for Joint Online Learning and Decision-making via Dual Mirror Descent
Figure 2 for Joint Online Learning and Decision-making via Dual Mirror Descent
Figure 3 for Joint Online Learning and Decision-making via Dual Mirror Descent
Figure 4 for Joint Online Learning and Decision-making via Dual Mirror Descent
Viaarxiv icon

Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training

Add code
Jun 09, 2019
Figure 1 for Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training
Figure 2 for Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training
Figure 3 for Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training
Figure 4 for Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training
Viaarxiv icon

Generalization Bounds in the Predict-then-Optimize Framework

Add code
May 27, 2019
Viaarxiv icon

Condition Number Analysis of Logistic Regression, and its Implications for Standard First-Order Solution Methods

Add code
Oct 20, 2018
Viaarxiv icon