4 citations · 5 across the 4 of their papers we have counts for
4 papers
CVXPY 1.9: Recent Advances in Optimization Modeling Software
William Zhang, Parth Nobel, Aryaman Jeendgar +3
CVXPY is a Python-embedded domain-specific language for convex optimization that lets users express problems in mathematical notation while the system verifies convexity and reduce…
Decomposition-Based Modular Conformal Prediction for Two-Stage Modeling
William Zhang, Saurabh Amin, Georgia Perakis
Conformal prediction offers finite-sample coverage guarantees under minimal assumptions. However, existing methods treat the entire modeling process as a black box, overlooking opp…
Boosting Supervised Learning Performance with Co-training
Xinnan Du, William Zhang, Jose M. Alvarez
Deep learning perception models require a massive amount of labeled training data to achieve good performance. While unlabeled data is easy to acquire, the cost of labeling is proh…
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks
Shuang Gao, Xin Liu, Lung-Sheng Chien +2
Improving weight sparsity is a common strategy for producing light-weight deep neural networks. However, pruning models with residual learning is more challenging. In this paper, w…