On Fenchel Mini-Max Learning

By Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy V. Bobashev, Lawrence Carin. 2019

16 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Zhe Gan
2. Chunyuan Li
3. Lawrence Carin
4. Liqun Chen
5. Junya Chen
6. Chenyang Tao
7. Shuyang Gao
8. Xuan Li

Citations in the corpus

• Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models (2020, unknown): “, 2019b) and Fenchel Mini-Max Learning (Tao et al., 2019), and extending theses methods for learning EBLVMs would be interesting future work.”
• Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE (2021, methodology): “Our proof is inspired by the technique used in [51] for non-parametric likelihood approximations, which is based on the celebrated Fenchel-Legendre duality given below.”