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ExPT: Synthetic Pretraining for Few-Shot Experimental Design

ExPT: Synthetic Pretraining for Few-Shot Experimental Design

30 October 2023
Tung Nguyen
Sudhanshu Agrawal
Aditya Grover
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Papers citing "ExPT: Synthetic Pretraining for Few-Shot Experimental Design"

14 / 14 papers shown
Title
Offline Model-Based Optimization: Comprehensive Review
Offline Model-Based Optimization: Comprehensive Review
Minsu Kim
Jiayao Gu
Ye Yuan
Taeyoung Yun
Z. Liu
Yoshua Bengio
Can Chen
OffRL
57
2
0
21 Mar 2025
Effective and secure federated online learning to rank
Effective and secure federated online learning to rank
Shuyi Wang
31
0
0
26 Dec 2024
Offline Model-Based Optimization by Learning to Rank
Offline Model-Based Optimization by Learning to Rank
Rong-Xi Tan
Ke Xue
Shen-Huan Lyu
Haopu Shang
Yao Wang
Yaoyuan Wang
Sheng Fu
Chao Qian
OffRL
81
2
0
15 Oct 2024
Predicting from Strings: Language Model Embeddings for Bayesian
  Optimization
Predicting from Strings: Language Model Embeddings for Bayesian Optimization
Tung Nguyen
Qiuyi Zhang
Bangding Yang
Chansoo Lee
J. Bornschein
Yingjie Miao
Sagi Perel
Yutian Chen
Xingyou Song
BDL
26
1
0
14 Oct 2024
Guided Trajectory Generation with Diffusion Models for Offline
  Model-based Optimization
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
Taeyoung Yun
Sujin Yun
Jaewoo Lee
Jinkyoo Park
OffRL
37
5
0
29 Jun 2024
LICO: Large Language Models for In-Context Molecular Optimization
LICO: Large Language Models for In-Context Molecular Optimization
Tung Nguyen
Aditya Grover
31
6
0
27 Jun 2024
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded
  Exploration in the Energy-Based Latent Space
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space
Peiyu Yu
Dinghuai Zhang
Hengzhi He
Xiaojian Ma
Ruiyao Miao
...
Deqian Kong
Ruiqi Gao
Jianwen Xie
Guang Cheng
Ying Nian Wu
48
5
0
27 May 2024
Design Editing for Offline Model-based Optimization
Design Editing for Offline Model-based Optimization
Ye Yuan
Youyuan Zhang
Can Chen
Haolun Wu
Zixuan Li
Jianmo Li
James J. Clark
Xue Liu
29
4
0
22 May 2024
Position: Leverage Foundational Models for Black-Box Optimization
Position: Leverage Foundational Models for Black-Box Optimization
Xingyou Song
Yingtao Tian
Robert Tjarko Lange
Chansoo Lee
Yujin Tang
Yutian Chen
38
5
0
06 May 2024
Reinforced In-Context Black-Box Optimization
Reinforced In-Context Black-Box Optimization
Lei Song
Chenxiao Gao
Ke Xue
Chenyang Wu
Dong Li
Jianye Hao
Zongzhang Zhang
Chao Qian
27
3
0
27 Feb 2024
AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph
  Neural Networks
AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph Neural Networks
Kaidi Cao
Jiaxuan You
Jiaju Liu
J. Leskovec
55
4
0
14 Mar 2023
Offline Model-Based Optimization via Normalized Maximum Likelihood
  Estimation
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation
Justin Fu
Sergey Levine
OffRL
62
46
0
16 Feb 2021
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
Yuhuai Wu
M. Rabe
Wenda Li
Jimmy Ba
Roger C. Grosse
Christian Szegedy
AIMat
LRM
61
51
0
15 Jan 2021
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,319
0
05 Nov 2016
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