1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance
Taicai Chen, Yue Duan, Dong Li +3
Variational Autoencoder based Bayesian Optimization (VAE-BO) has demonstrated its excellent performance in addressing high-dimensional structured optimization problems. However, cu…
cs.CL2023
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
Mingyang Chen, Wen Zhang, Zhen Yao +4
We propose an entity-agnostic representation learning method for handling the problem of inefficient parameter storage costs brought by embedding knowledge graphs. Conventional kno…
cs.AI2022★ 1 cited
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions
Weirui Ye, Pieter Abbeel, Yang Gao
One of the most important AI research questions is to trade off computation versus performance since ``perfect rationality" exists in theory but is impossible to achieve in practic…