firstbacksecondback
58 Results
|
Poster
|
Wed 14:00 |
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? Derrick Xin · Behrooz Ghorbani · Justin Gilmer · Ankush Garg · Orhan Firat |
|
|
Affinity Workshop
|
Multi-objective Bayesian Optimization with Heuristic Objectives for Biomedical and Molecular Data Analysis Workflows Alina Selega · Kieran Campbell |
||
|
Affinity Workshop
|
Preference-Aware Constrained Multi-Objective Bayesian Optimization Alaleh Ahmadianshalchi · Syrine Belakaria · Janardhan Rao Doppa |
||
|
Poster
|
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin · Zhiyuan Yang · Xiaoyuan Zhang · Qingfu Zhang |
||
|
Poster
|
Wed 14:00 |
Stochastic Multiple Target Sampling Gradient Descent Hoang Phan · Ngoc Tran · Trung Le · Toan Tran · Nhat Ho · Dinh Phung |
|
|
Workshop
|
Assessing multi-objective optimization of molecules with genetic algorithms against relevant baselines Nathanael Kusanda · Gary Tom · Riley Hickman · AkshatKumar Nigam · Kjell Jorner · Alan Aspuru-Guzik |
||
|
Poster
|
Thu 14:00 |
Multi-Objective Deep Learning with Adaptive Reference Vectors Weiyu Chen · James Kwok |
|
|
Workshop
|
PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design Ji Won Park · Samuel Stanton · Saeed Saremi · Andrew Watkins · Stephen Ra · Vladimir Gligorijevic · Kyunghyun Cho · Richard Bonneau |
||
|
Poster
|
Tue 9:00 |
Multi-agent Dynamic Algorithm Configuration Ke Xue · Jiacheng Xu · Lei Yuan · Miqing Li · Chao Qian · Zongzhang Zhang · Yang Yu |
|
|
Poster
|
Tue 14:00 |
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization Wei Jiang · Gang Li · Yibo Wang · Lijun Zhang · Tianbao Yang |