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Papers
An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions
ICML 2025
LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields
AISTATS 2024
A Bregman Divergence View on the Difference-of-Convex Algorithm
AISTATS 2023
Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence
AAAI 2023
Faster Algorithms for Learning Convex Functions
ICML 2022
Large-scale Optimization of Partial AUC in a Range of False Positive Rates
NeurIPS 2022
Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression
IJCAI 2018
Multiple Indefinite Kernel Learning for Feature Selection
IJCAI 2017