Search Results for author: Siyuan Guo

Found 11 papers, 5 papers with code

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

1 code implementation27 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.

Code Generation

Learning Generalizable Agents via Saliency-Guided Features Decorrelation

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.

Reinforcement Learning (RL)

Diffusing on Two Levels and Optimizing for Multiple Properties: A Novel Approach to Generating Molecules with Desirable Properties

no code implementations5 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.

Out-of-Variable Generalization for Discriminative Models

no code implementations16 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.

Out-of-Distribution Generalization

Dataflow graphs as complete causal graphs

1 code implementation16 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.

On the Interventional Kullback-Leibler Divergence

no code implementations10 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.

Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation

1 code implementation28 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.

counterfactual Imputation +2

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