| Statistics | Total | Accept | Poster | Location | Source |
|---|---|---|---|---|---|
| COLT 2018 • paperlist | - | 94 | 94 | , | proceedings.mlr.press |
| COLT 2017 • paperlist | - | 76 | 76 | , | proceedings.mlr.press |
| COLT 2016 • paperlist | - | 70 | 70 | , | proceedings.mlr.press |
How to interpret the columns above:
- Count: The total number of submissions is calculated as: #Total = #Accept + #Reject + #Withdraw + #Desk Reject - #Post Decision Withdraw (when applicable).
- Rates: Each status rate is computed as #Status Occurrence / #Total, where the status can be Accept, Reject, etc. For example, if there are 100 total submissions and 27 were accepted, the Accept Rate = 27 / 100 = 27%.
- min / max / mean / std: These are statistical summaries of the reviewer average scores per submission within each decision tier (e.g., Accept tier). For example, if a paper received ratings of 3, 4, and 5, its average score is 4 — and this average is used in the distribution. Suppose the Accept tier contains submissions with reviewer averages: {4.0, 3.1, 3.6}. Then, the min = 3.1, max = 4.0, mean ≈ 3.57, and std ≈ 0.37. If rating scores are publicly available, the statistics are based on submissions that opted in for release. If scores are collected from the community via the Google Form, the statistics reflect only those samples. When both community-collected and officially released scores are available, only the official scores are used for the displayed statistics.
- Reject: Refers only to submissions that opted in for public release. Please note that the number of opt-in records may be smaller than the actual number of rejections.
- Withdraw: Includes papers withdrawn by the authors, including those withdrawn after acceptance. Post-decision withdrawals are specifically marked as such.
More about the chart above:
Author Matching Limitation: When an author’s ID is not available, the system falls back to matching based on alphabetical name string. As a result, charts involving author counts (e.g., top authors, affiliations) may contain redundant entries if multiple authors share the same name.
How to use the paper list below:
- Overview: This table presents papers from the COLT conference, year 2018.
- Filtering: By default, the table loads the first 100 records. You can use the filter box under each column header to search within these loaded entries. Each column displays a “Per Column Match #” to indicate how many results match that column’s filter. If you apply filters across multiple columns, the combined match count appears under “All Filter Matches”. To search the entire venue, click “Click to Fetch All”. Note: on large venues, this may temporarily freeze your browser. Enabling “Hide Rejected” helps reduce loading time.
- Sorting: Click the "⬍ A–Z" icon in a column header to sort the table. When a custom sort is applied, a new column “Row Index (R#)” appears to reflect the updated order. The original default order — based on review rating, then review confidence, then title — is preserved in the “#” column. If any key is missing, fallback to the next priority field is applied.
- Hover & Linking: Author, affiliation, and country fields are automatically linked. Hovering over an author highlights their affiliated organization and country, and vice versa. A mini profile card will also appear showing the author’s name and a gender-colored tag: blue for male, pink for female (white when unavailable). Affiliation metadata may take time to appear, as it’s parsed from the original publication. A dropdown lets you toggle between display formats. All names are normalized (e.g., official name, department, campus, abbreviations). The entire mapping is powered by an LLM backend. Country names follow United Nations naming conventions and will be revised when needed on request to prevent confusion.
- Metrics: Each paper includes a metrics column showing the review score and citation count from Google Scholar. If available, the citation count links to the corresponding Google Scholar profile. A value of -1 or - means the record was not found. Citations are updated periodically, not in real time.
- Source Data: Raw data is available on GitHub — we welcome stars and issue reports to help us improve the platform.
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