HOUDINI: Escaping from Moderately Constrained Saddles
Authors: Dmitrii Avdiukhin, Grigory Yaroslavtsev
IJCAI 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We provide experimental results in the full version. |
| Researcher Affiliation | Academia | 1Indiana University, Bloomington, IN 2George Mason University, Fairfax, VA |
| Pseudocode | Yes | Algorithm 1: HOUDINIESCAPECORNER: Escaping from a corner for a quadratic function, Algorithm 2: FINDINSIDECORNER(x, A), Algorithm 3: HOUDINIESCAPE(x, S, δ): Escaping from a saddle point, Algorithm 4: FINDINSIDE(x, δ, (M , v ), (r , S )) |
| Open Source Code | No | The paper mentions providing "experimental results in the full version" but does not state that source code for the methodology is openly available or provide a link. |
| Open Datasets | No | The paper is theoretical and does not describe experiments with specific datasets for training. |
| Dataset Splits | No | The paper is theoretical and does not describe experiments or dataset splits for validation. |
| Hardware Specification | No | The paper is theoretical and does not describe any specific hardware used for experiments. |
| Software Dependencies | No | The paper is theoretical and does not mention any specific software dependencies or versions. |
| Experiment Setup | No | The paper is theoretical and does not describe specific experimental setup details, hyperparameters, or training configurations. |