Notice: This website is continuously updated as new conference proceedings and journal volumes are published. Consequently, the figures presented here may differ from those reported in our publications.
A brief overview of our methodology is provided on the Methods page, along with references to publications documenting our approach and links to the code and data used in each study.
The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates.
Set Smoothness Unlocks Clarke Hyper-stationarity in Bilevel Optimization
Authors: He Chen, Jiajin Li, Anthony Man-Cho So
NeurIPS 2025 | Venue PDF | LLM Run Details | Input Tokens: 29,529 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 3,376 Total number of tokens produced by the LLM (including reasoning/thinking tokens) for this paper's analysis.
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | This paper focuses on the theoretical computability of hyper-stationarity for BLO and does not include experiments. |
| Researcher Affiliation | Academia | He Chen SEEM The Chinese University of Hong Kong Shatin, Hong Kong EMAIL; Jiajin Li Sauder School of Business University of British Columbia Vancouver, BC, Canada EMAIL; Anthony Man-Cho So SEEM The Chinese University of Hong Kong Shatin, Hong Kong EMAIL |
| Pseudocode | Yes | Algorithm 1 Inexact Zeroth-order Method (cf. [7, Algorithm 2]); Algorithm 2 Deterministic Subroutine A |
| Open Source Code | No | This paper focuses on the theoretical computability of hyper-stationarity for BLO and does not include experiments requiring code. |
| Open Datasets | No | This paper focuses on the theoretical computability of hyper-stationarity for BLO and does not include experiments. |
| Dataset Splits | No | This paper focuses on the theoretical computability of hyper-stationarity for BLO and does not include experiments. |
| Hardware Specification | No | This paper focuses on the theoretical computability of hyper-stationarity for BLO and does not include experiments. |
| Software Dependencies | No | This paper focuses on the theoretical computability of hyper-stationarity for BLO and does not include experiments. |
| Experiment Setup | No | This paper focuses on the theoretical computability of hyper-stationarity for BLO and does not include experiments. |