1 code implementation • 27 Feb 2024 • Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang
In the development stage, DS-Agent follows the CBR framework to structure an automatic iteration pipeline, which can flexibly capitalize on the expert knowledge from Kaggle, and facilitate consistent performance improvement through the feedback mechanism.
1 code implementation • 5 Nov 2023 • Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Mrinmaya Sachan, Bernhard Schölkopf
Evaluating the significance of a paper is pivotal yet challenging for the scientific community.
no code implementations • NeurIPS 2023 • Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
Our experimental results demonstrate that SGFD can generalize well on a wide range of test environments and significantly outperforms state-of-the-art methods in handling both task-irrelevant variations and task-relevant variations.
no code implementations • 5 Oct 2023 • Siyuan Guo, Jihong Guan, Shuigeng Zhou
Extensive experiments with two benchmark datasets QM9 and ZINC250k show that the molecules generated by our proposed method have better validity, uniqueness, novelty, Fr\'echet ChemNet Distance (FCD), QED, and PlogP than those generated by current SOTA models.
no code implementations • 13 Jun 2023 • Siyuan Guo, Yanchao Sun, Jifeng Hu, Sili Huang, Hechang Chen, Haiyin Piao, Lichao Sun, Yi Chang
However, constrained by the limited quality of the offline dataset, its performance is often sub-optimal.
no code implementations • 8 Jun 2023 • Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, DaCheng Tao
Recent works have shown the potential of diffusion models in computer vision and natural language processing.
no code implementations • 16 Apr 2023 • Siyuan Guo, Jonas Wildberger, Bernhard Schölkopf
The ability of an agent to do well in new environments is a critical aspect of intelligence.
1 code implementation • 16 Mar 2023 • Andrei Paleyes, Siyuan Guo, Bernhard Schölkopf, Neil D. Lawrence
Component-based development is one of the core principles behind modern software engineering practices.
no code implementations • 10 Feb 2023 • Jonas Wildberger, Siyuan Guo, Arnab Bhattacharyya, Bernhard Schölkopf
Modern machine learning approaches excel in static settings where a large amount of i. i. d.
1 code implementation • 28 Jan 2023 • Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva
We introduce a causal framework for designing optimal policies that satisfy fairness constraints.
1 code implementation • 28 May 2021 • Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
Based on it, a more robust doubly robust (MRDR) estimator has been proposed to further reduce its variance while retaining its double robustness.