跳到主要内容
知仓学习社ZHICANG

colt-camera-ready

Use when converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version, covering de-anonymization, acknowledge…

不碰外部(只输出文字)无严重或高危命中brycewang-stanford/Awesome-Journal-Skills

它会碰到什么

扫了多少1 个文本文件,6 KB
它会碰到什么不碰外部(只输出文字)
命中总数0 处
命中统计严重 0 · 高 0 · 中 0 · 低 0

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

COLT Camera Ready

Use this after a COLT acceptance. COLT proceedings are published electronically in the

Proceedings of Machine Learning Research (PMLR) — verified against the COLT 2026 CFP

and PMLR volume pages on 2026-07-08. The camera-ready instructions arrive with the

acceptance notification; they, not this file, control exact dates and forms.

Recent volume anchors (verified 2026-07-08)

| Edition | PMLR volume | Location | Volume editors |

|---|---|---|---|

| COLT 2024 (37th) | v247 | Edmonton, Canada | Shipra Agrawal, Aaron Roth |

| COLT 2025 (38th) | v291 | Lyon, France | Nika Haghtalab, Ankur Moitra |

| COLT 2026 (39th) | announced with acceptance (待核实) | San Diego, USA | current program chairs |

Volume editors are the program chairs of that edition; the pairing rotates every year.

The COLT 2026 volume number and camera-ready deadline were not yet published at the

access date — take both from your acceptance email.

De-anonymization pass

  • Remove the template's anon option so the author block renders; verify the running

head and PDF metadata now carry real names.

  • Restore acknowledgements, funding lines, and any statements the anonymous version cut.

These lines add length — recheck where the body boundary falls if the current

instructions still enforce a body limit at camera-ready (待核实 per cycle).

  • Rewrite defensive third-person self-citations ("the authors of [12] showed") back

into honest first person where it reads better.

  • Swap anonymized or omitted repository links for stable public URLs, and test each

from a logged-out browser.

Consolidating the archival PDF

At COLT the appendix ships inside the same archival PDF, so the proceedings version is

the complete record — there is no separately hosted supplement to lean on later.

  • Fold every rebuttal-promised edit into the text now: theorem statements that must

carry an explicit constant, assumptions promoted from appendix to body, corrected

displays. Keep a private ledger mapping each reviewer request to the diff that

answers it, because chairs occasionally spot-check.

  • Do not renumber theorems, lemmas, or assumptions relative to the reviewed version

unless forced; the review record and any citing preprints refer to the old numbers.

  • Reconcile the arXiv version: theory readers will diff arXiv against PMLR, so either

update arXiv to match or note the differences in the arXiv comments field.

  • Run a final pass on cross-references — \ref breakage introduced by de-anonymization

edits is the most common camera-ready defect in proof-heavy papers.

PMLR metadata and citation hygiene

Title, author order, and abstract you enter in the proceedings forms become the

citable record. The PMLR page for your paper generates the canonical citation; make

your own BibTeX consistent with it:

@inproceedings{yourkey2026tight,
  title     = {Tight Rates for a Learning Problem},
  author    = {Lastname, First and Coauthor, Second},
  booktitle = {Proceedings of the 39th Annual Conference on Learning Theory},
  series    = {Proceedings of Machine Learning Research},
  volume    = {TBD},   % assigned volume number, e.g. v291 was COLT 2025
  pages     = {1--30}, % assigned by the volume
  year      = {2026},
  publisher = {PMLR}
}
  • Check every accent and math symbol in the title as it will render on the PMLR page.
  • Author order must match the submission unless the chairs approved a change.
  • PMLR is open access with no author-side publication fee; COLT's cost model is

conference registration, not an APC.

Presentation and registration obligations

  • Expect that an accepted COLT paper must be presented at the conference by an author;

the exact registration requirement, talk versus poster format, and any remote

option for the 2026 edition were not verifiable at the access date (待核实) — the

acceptance email and the registration page at learningtheory.org control.

  • COLT is single-track: your talk or poster is seen by the whole community, so slide

preparation deserves more lead time than at parallel-session venues.

  • Budget for registration early; COLT 2026 ran June 29 to July 3 in San Diego, and

conference-hotel capacity at smaller venues fills quickly.

Preparing the talk alongside the PDF

Camera-ready season doubles as talk season, and at a single-track venue the talk is

part of the paper's public record:

  • Build the talk from the informal theorem statements and the technique paragraph,

not from the formal setup — the room already speaks the field's vocabulary but has

not seen your notation.

  • One slide of "what was known" with exact prior rates mirrors the paper's

known-vs-new ledger and is the single highest-value slide at COLT.

  • Rehearse the proof-idea slide until it survives without the appendix: the aim is

that a listener could set a student to re-derive the result.

  • If the edition uses posters for some papers, the poster's spine is the same three

objects: model, theorem, technique — resist the empirical-venue urge to fill space

with plots you do not have.

  • Announce the open questions from the paper's discussion section; COLT audiences

treat posed problems as gifts, and follow-up work cites the talk's source paper.

Common camera-ready defects at COLT

| Defect | Why it happens | Catch it by |

|---|---|---|

| Body overflow after author block returns | Anonymous version used the freed lines | Recompiling with authors before editing anything |

| Theorem numbering drift vs. reviewed version | Appendix restructuring | Diffing the numbered-statement list |

| arXiv/PMLR content divergence | Only one copy updated | A scheduled same-day update of both |

| Broken \ref after merging rebuttal edits | Labels deleted with old text | grep-style check for "??" in the compiled log |

| Metadata mismatch (title case, accents) | Forms filled from memory | Copy-pasting from the final PDF |

Output format

[Camera-ready status] Ready / Needs fixes / Blocked
[Reviewer-promise ledger] <request -> diff location>
[De-anonymization checks] <author block / acknowledgements / links / metadata>
[Numbering stability] preserved / documented changes
[Logistics] <forms, registration, presentation owner>

想直接用这个技能?

本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。