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Papers
Learning to Remove Cuts in Integer Linear Programming
ICML 2024
Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective
AAAI 2024
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes
NeurIPS 2024
Efficient Convex Optimization Requires Superlinear Memory (Extended Abstract)
IJCAI 2023
Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal
COLT 2023
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity
NeurIPS 2022
Efficient Convex Optimization Requires Superlinear Memory
COLT 2022
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality
JMLR 2022
Wasserstein Logistic Regression with Mixed Features
NeurIPS 2022
Reinforcement Learning for Integer Programming: Learning to Cut
ICML 2020
Cutting plane methods can be extended into nonconvex optimization
COLT 2018
Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives
NeurIPS 2018
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning
NeurIPS 2014
Robust Regression on MapReduce
ICML 2013
Regularized Bundle Methods for Convex and Non-Convex Risks
JMLR 2012
Smoothing Multivariate Performance Measures
JMLR 2012
Multiple Instance Learning on Structured Data
NeurIPS 2011
Lower Bounds on Rate of Convergence of Cutting Plane Methods
NeurIPS 2010
Submodularity Cuts and Applications
NeurIPS 2009
Support Vector Machine Classification with Indefinite Kernels
NeurIPS 2007