Optimization
Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm
See Figure 1 for an illustration of the different SNR thresholds and Section 2.1 for more
Constrained Diffusion Models via Dual Training
However, diffusion processes are prone to generating samples that reflect biases in a training dataset.
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data Xuxing Chen
XC and AR contributed equally to this work.
First-Order Minimax Bilevel Optimization
These authors contributed equally to this work.
SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization Qian Chen
Integer linear programs (ILPs) are commonly employed to model diverse practical problems such as scheduling and planning.
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
Learn-to-Defer is a paradigm that enables learning algorithms to work not in isolation but as a team with human experts.