large-scale optimization

Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design ICML 2025 Sketched Newton Value Iteration for Large-Scale Markov Decision Processes AAAI 2024 Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games AAAI 2024 UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems NeurIPS 2024 Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract) AAAI 2023 Parallel Index-Based Search Algorithm for Coalition Structure Generation (Student Abstract) AAAI 2023 Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays IJCAI 2023 On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems JMLR 2022 ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications ICML 2020 Estimating the Error of Randomized Newton Methods: A Bootstrap Approach ICML 2020 Proximal Splitting Meets Variance Reduction AISTATS 2019 Scalable Approximations for Generalized Linear Problems JMLR 2019 Cut-Pursuit Algorithm for Regularizing Nonsmooth Functionals with Graph Total Variation ICML 2018 Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method AISTATS 2018 Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models IJCAI 2018 A Study on Trust Region Update Rules in Newton Methods for Large-scale Linear Classification ACML 2017 Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models AISTATS 2016 SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk NeurIPS 2015 A Reliable Effective Terascale Linear Learning System JMLR 2014 Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods ICML 2014 Large-scale L-BFGS using MapReduce NeurIPS 2014 Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization NeurIPS 2013 Scalable nonconvex inexact proximal splitting NeurIPS 2012 Stochastic Gradient Descent with Only One Projection NeurIPS 2012 A Convergence Analysis of Log-Linear Training NeurIPS 2011