182 citations · 288 across the 8 of their papers we have counts for
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cs.LG2023
NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning
Yun Yi, Haokui Zhang, Rong Xiao +2
As more deep learning models are being applied in real-world applications, there is a growing need for modeling and learning the representations of neural networks themselves. An e…
cs.LG2022★ 1 cited
IMO: Interactive Multi-Objective Off-Policy Optimization
Nan Wang, Hongning Wang, Maryam Karimzadehgan +2
Most real-world optimization problems have multiple objectives. A system designer needs to find a policy that trades off these objectives to reach a desired operating point. This p…
cs.LG2015★ 1 cited
A new boosting algorithm based on dual averaging scheme
Nan Wang
The fields of machine learning and mathematical optimization increasingly intertwined. The special topic on supervised learning and convex optimization examines this interplay. The…