Lu, Haihao

11 publications

ICML 2024 A Field Guide for Pacing Budget and ROS Constraints Santiago R. Balseiro, Kshipra Bhawalkar, Zhe Feng, Haihao Lu, Vahab Mirrokni, Balasubramanian Sivan, Di Wang

NeurIPS 2023 Online Ad Procurement in Non-Stationary Autobidding Worlds Jason Cheuk Nam Liang, Haihao Lu, Baoyu Zhou

ALT 2022 Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab Mirrokni

NeurIPS 2021 Practical Large-Scale Linear Programming Using Primal-Dual Hybrid Gradient David Applegate, Mateo Diaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O'Donoghue, Warren Schudy

ICML 2021 Regularized Online Allocation Problems: Fairness and Beyond Santiago Balseiro, Haihao Lu, Vahab Mirrokni

AISTATS 2020 Accelerating Gradient Boosting Machines Haihao Lu, Sai Praneeth Karimireddy, Natalia Ponomareva, Vahab Mirrokni

NeurIPS 2020 Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming Joey Huchette, Haihao Lu, Hossein Esfandiari, Vahab Mirrokni

ICML 2020 Dual Mirror Descent for Online Allocation Problems Santiago Balseiro, Haihao Lu, Vahab Mirrokni

AISTATS 2020 Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization Kenji Kawaguchi, Haihao Lu

ICML 2018 Accelerating Greedy Coordinate Descent Methods Haihao Lu, Robert Freund, Vahab Mirrokni

ICML 2018 Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions Shuaiwen Wang, Wenda Zhou, Haihao Lu, Arian Maleki, Vahab Mirrokni