ChangYong Oh

12 papers A* 4A 1B 1Journal 6

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel. NeurIPS ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling
2022	J	`jnl`	Bayesian Optimization for Macro Placement. CoRR ChangYong Oh, Roberto Bondesan, Dana Kianfar, Rehan Ahmed, Rishubh Khurana, Payal Agarwal, Romain Lepert, Mysore Sriram, Max Welling
2021	J	`jnl`	Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels. CoRR ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling
2021	J	`jnl`	Mixed Variable Bayesian Optimization with Frequency Modulated Kernels. CoRR ChangYong Oh, Efstratios Gavves, Max Welling
2021	A	`conf`	Mixed variable Bayesian optimization with frequency modulated kernels. UAI ChangYong Oh, Efstratios Gavves, Max Welling
2020	B	`conf`	Quasibinary Classifier for Images with Zero and Multiple Labels. ICPR Shuai Liao, Efstratios Gavves, ChangYong Oh, Cees G. M. Snoek
2020	A*	`conf`	Radial and Directional Posteriors for Bayesian Deep Learning. AAAI ChangYong Oh, Kamil Adamczewski, Mijung Park
2019	J	`jnl`	Combinatorial Bayesian Optimization using Graph Representations. CoRR ChangYong Oh, Jakub M. Tomczak, Efstratios Gavves, Max Welling
2019	A*	`conf`	Combinatorial Bayesian Optimization using the Graph Cartesian Product. NeurIPS ChangYong Oh, Jakub M. Tomczak, Efstratios Gavves, Max Welling
2019	J	`jnl`	Radial and Directional Posteriors for Bayesian Neural Networks. CoRR ChangYong Oh, Kamil Adamczewski, Mijung Park
2018	A*	`conf`	BOCK : Bayesian Optimization with Cylindrical Kernels. ICML ChangYong Oh, Efstratios Gavves, Max Welling
2018	J	`jnl`	BOCK : Bayesian Optimization with Cylindrical Kernels. CoRR ChangYong Oh, Efstratios Gavves, Max Welling