[CFP] The 3rd Conference on Parsimony and Learning (CPAL 2026), March 23–26, Tübingen, Germany
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Wei Huang
Oct 15, 2025, 4:56:20 PMOct 15
to 情報論的学習理論と機械学習 (IBISML)
皆様
（重複して受信された方にはお詫び申し上げます）
RIKEN AIP の研究員の Wei Huang と申します。
We are pleased to announce the **Third Conference on Parsimony and Learning (CPAL 2026)**,
to be held in **Tübingen, Germany**, from **March 23–26, 2026**.
---
**About CPAL**
The Conference on Parsimony and Learning (CPAL) is an annual research conference focused on parsimonious and low-dimensional structures that prevail in machine learning, signal processing, optimization, and related fields. We welcome submissions on theory, algorithms, applications, hardware and systems, and the scientific foundations of learning with parsimony.
---
**Call for Papers (Now Open!)**
Paper submissions for **CPAL 2026** are now open.
Authors are invited to submit original research papers addressing topics within the scope of parsimony and learning.
📝 **Submission Deadline:** December 5, 2025 (23:59 AOE)
---
**Submission Tracks and Review Process**
CPAL 2026 features **two submission tracks**:
1. **Proceedings Track (archival)**
- Submissions will be **double-blind** and hosted on **OpenReview**.
- Authors may discuss and update their papers during the author–reviewer discussion stage.
- Accepted papers will appear in the **Proceedings of Machine Learning Research (PMLR)**.
- Maximum of **9 pages** (excluding references and appendix).
- At least one author of each accepted paper must attend the conference.
- Use of **LLMs (Large Language Models)** in research or writing should be transparently described, following NeurIPS 2023 guidelines.
- Non-anonymous preprints (e.g., arXiv) are allowed and will not lead to rejection.
2. **“Recent Spotlight” Track (non-archival)**
- Highlights cutting-edge or recently published work, as well as work in progress.
- Submissions may include:
- A short paper (any reasonable format)
- A poster (PDF)
- A previously published paper (camera-ready version)
- A **250-word abstract** should accompany each submission.
- Reviewing is **single-blind** (no anonymization required).
- No proceedings; concurrent submissions are permitted.
All submissions must use the **CPAL LaTeX style files**, available as a zip archive or Overleaf template, and be submitted through the
📥 **CPAL OpenReview Submission Portal** (https://openreview.net/group?id=CPAL.cc/2026/Conference&referrer#tab-your-consoles).
---
**Key Dates and Deadlines (Tentative)**
All deadlines are 23:59 Anywhere-on-Earth (AOE).
- December 5, 2025: Conference paper submission deadline
- December 10, 2025: Tutorial proposal deadline
- December 15, 2025: “Rising Stars” application deadline
- January 5, 2026: Review deadline
- January 8–11, 2026: Paper rebuttal period
- January 14, 2026: Tutorial results announced
- January 15, 2026: “Recent Spotlight” article submission deadline
- January 20, 2026: Final paper decisions released
- March 23–26, 2026: Conference held in Tübingen, Germany
---
For full details and submission links, please visit:
🌐 [https://cpal.cc](https://cpal.cc)
Best regards,
**Wei Huang, Ph.D.**
Research Scientist, RIKEN AIP
(on behalf of the CPAL 2026 Organizing Committee)
（重複して受信された方にはお詫び申し上げます）
RIKEN AIP の研究員の Wei Huang と申します。
We are pleased to announce the **Third Conference on Parsimony and Learning (CPAL 2026)**,
to be held in **Tübingen, Germany**, from **March 23–26, 2026**.
---
**About CPAL**
The Conference on Parsimony and Learning (CPAL) is an annual research conference focused on parsimonious and low-dimensional structures that prevail in machine learning, signal processing, optimization, and related fields. We welcome submissions on theory, algorithms, applications, hardware and systems, and the scientific foundations of learning with parsimony.
---
**Call for Papers (Now Open!)**
Paper submissions for **CPAL 2026** are now open.
Authors are invited to submit original research papers addressing topics within the scope of parsimony and learning.
📝 **Submission Deadline:** December 5, 2025 (23:59 AOE)
---
**Submission Tracks and Review Process**
CPAL 2026 features **two submission tracks**:
1. **Proceedings Track (archival)**
- Submissions will be **double-blind** and hosted on **OpenReview**.
- Authors may discuss and update their papers during the author–reviewer discussion stage.
- Accepted papers will appear in the **Proceedings of Machine Learning Research (PMLR)**.
- Maximum of **9 pages** (excluding references and appendix).
- At least one author of each accepted paper must attend the conference.
- Use of **LLMs (Large Language Models)** in research or writing should be transparently described, following NeurIPS 2023 guidelines.
- Non-anonymous preprints (e.g., arXiv) are allowed and will not lead to rejection.
2. **“Recent Spotlight” Track (non-archival)**
- Highlights cutting-edge or recently published work, as well as work in progress.
- Submissions may include:
- A short paper (any reasonable format)
- A poster (PDF)
- A previously published paper (camera-ready version)
- A **250-word abstract** should accompany each submission.
- Reviewing is **single-blind** (no anonymization required).
- No proceedings; concurrent submissions are permitted.
All submissions must use the **CPAL LaTeX style files**, available as a zip archive or Overleaf template, and be submitted through the
📥 **CPAL OpenReview Submission Portal** (https://openreview.net/group?id=CPAL.cc/2026/Conference&referrer#tab-your-consoles).
---
**Key Dates and Deadlines (Tentative)**
All deadlines are 23:59 Anywhere-on-Earth (AOE).
- December 5, 2025: Conference paper submission deadline
- December 10, 2025: Tutorial proposal deadline
- December 15, 2025: “Rising Stars” application deadline
- January 5, 2026: Review deadline
- January 8–11, 2026: Paper rebuttal period
- January 14, 2026: Tutorial results announced
- January 15, 2026: “Recent Spotlight” article submission deadline
- January 20, 2026: Final paper decisions released
- March 23–26, 2026: Conference held in Tübingen, Germany
---
For full details and submission links, please visit:
🌐 [https://cpal.cc](https://cpal.cc)
Best regards,
**Wei Huang, Ph.D.**
Research Scientist, RIKEN AIP
(on behalf of the CPAL 2026 Organizing Committee)
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