Haihao Lu
11 papers · 2018–2024 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (17)
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Keyword Collector
(56)
Venues
Top co-authors
Research topics
Keywords
accelerated convergence
(2)
regret bound
(2)
convex optimization
(2)
ensemble learning
(1)
empirical risk minimization
(1)
gradient boosting
(1)
minimax optimization
(1)
linear programming
(1)
resource allocation
(1)
coordinate descent
(1)
high-dimensional regression
(1)
linear programming relaxation
(1)
dual optimization
(1)
primal-dual algorithm
(1)
bandit feedback
(1)
regularization parameter
(1)
online mirror descent
(1)
penalized regression
(1)
online allocation
(1)
mixed integer programming
(1)
Papers
A Field Guide for Pacing Budget and ROS Constraints
ICML 2024
Online Ad Procurement in Non-stationary Autobidding Worlds
NeurIPS 2023
Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems
ALT 2022
Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient
NeurIPS 2021
Regularized Online Allocation Problems: Fairness and Beyond
ICML 2021
Accelerating Gradient Boosting Machines
AISTATS 2020
Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming
NeurIPS 2020
Dual Mirror Descent for Online Allocation Problems
ICML 2020
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization
AISTATS 2020
Accelerating Greedy Coordinate Descent Methods
ICML 2018
Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions
ICML 2018