Paul Grigas - RankMe

30 papers A* 3A 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decision-Focused Sequential Experimental Design: A Directional Uncertainty-Guided Approach. CoRR Beichen Wan, Mo Liu, Paul Grigas, Zuo-Jun Max Shen
2025	A	`conf`	Beyond Discretization: Learning the Optimal Solution Path. AISTATS Qiran Dong, Paul Grigas, Vishal Gupta
2025	J	`jnl`	New Methods for Parametric Optimization via Differential Equations. SIAM J. Optim. Heyuan Liu, Paul Grigas
2025	J	`jnl`	New Penalized Stochastic Gradient Methods for Linearly Constrained Strongly Convex Optimization. J. Optim. Theory Appl. Meng Li, Paul Grigas, Alper Atamtürk
2025	J	`jnl`	Self-Supervised Penalty-Based Learning for Robust Constrained Optimization. CoRR Wyame Benslimane, Paul Grigas
2025	—	`conf`	Self-supervised Penalty-Based Learning for Robust Constrained Optimization. CPAIOR (1) Wyame Benslimane, Paul Grigas
2025	J	`jnl`	Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints. CoRR Hyungki Im, Wyame Benslimane, Paul Grigas
2025	J	`jnl`	Stochastic First-Order Algorithms for Constrained Distributionally Robust Optimization. INFORMS J. Comput. Hyungki Im, Paul Grigas
2023	J	`jnl`	Active Learning in the Predict-then-Optimize Framework: A Margin-Based Approach. CoRR Mo Liu, Paul Grigas, Heyuan Liu, Zuo-Jun Max Shen
2023	J	`jnl`	Binary Classification with Instance and Label Dependent Label Noise. CoRR Hyungki Im, Paul Grigas
2023	J	`jnl`	Generalization Bounds in the Predict-Then-Optimize Framework. Math. Oper. Res. Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas, Ambuj Tewari
2023	J	`jnl`	On the softplus penalty for large-scale convex optimization. Oper. Res. Lett. Meng Li, Paul Grigas, Alper Atamtürk
2022	J	`jnl`	Online Contextual Decision-Making with a Smart Predict-then-Optimize Method. CoRR Heyuan Liu, Paul Grigas
2022	J	`jnl`	Smart "Predict, then Optimize". Manag. Sci. Adam N. Elmachtoub, Paul Grigas
2021	J	`jnl`	Integrated Conditional Estimation-Optimization. CoRR Paul Grigas, Meng Qi, Zuo-Jun Shen
2021	A*	`conf`	Joint Online Learning and Decision-making via Dual Mirror Descent. ICML Alfonso Lobos, Paul Grigas, Zheng Wen
2021	J	`jnl`	Joint Online Learning and Decision-making via Dual Mirror Descent. CoRR Alfonso Lobos, Paul Grigas, Zheng Wen
2021	A*	`conf`	Risk Bounds and Calibration for a Smart Predict-then-Optimize Method. NeurIPS Heyuan Liu, Paul Grigas
2021	J	`jnl`	Risk Bounds and Calibration for a Smart Predict-then-Optimize Method. CoRR Heyuan Liu, Paul Grigas
2019	A*	`conf`	Generalization Bounds in the Predict-then-Optimize Framework. NeurIPS Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas, Ambuj Tewari
2019	J	`jnl`	Generalization Bounds in the Predict-then-Optimize Framework. CoRR Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas, Ambuj Tewari
2019	J	`jnl`	Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training. CoRR Paul Grigas, Alfonso Lobos, Nathan Vermeersch
2018	J	`jnl`	Condition Number Analysis of Logistic Regression, and its Implications for Standard First-Order Solution Methods. CoRR Robert M. Freund, Paul Grigas, Rahul Mazumder
2017	J	`jnl`	An Extended Frank-Wolfe Method with "In-Face" Directions, and Its Application to Low-Rank Matrix Completion. SIAM J. Optim. Robert M. Freund, Paul Grigas, Rahul Mazumder
2017	—	`conf`	Profit Maximization for Online Advertising Demand-Side Platforms. ADKDD@KDD Paul Grigas, Alfonso Lobos, Zheng Wen, Kuang-Chih Lee
2017	J	`jnl`	Profit Maximization for Online Advertising Demand-Side Platforms. CoRR Paul Grigas, Alfonso Lobos, Zheng Wen, Kuang-Chih Lee
2017	J	`jnl`	Smart "Predict, then Optimize". CoRR Adam N. Elmachtoub, Paul Grigas
2016	J	`jnl`	New analysis and results for the Frank-Wolfe method. Math. Program. Robert M. Freund, Paul Grigas
2015	J	`jnl`	A New Perspective on Boosting in Linear Regression via Subgradient Optimization and Relatives. CoRR Robert M. Freund, Paul Grigas, Rahul Mazumder
2013	J	`jnl`	AdaBoost and Forward Stagewise Regression are First-Order Convex Optimization Methods. CoRR Robert M. Freund, Paul Grigas, Rahul Mazumder