Upload AUDIT_TRAIL.md
Browse files- AUDIT_TRAIL.md +88 -0
AUDIT_TRAIL.md
ADDED
|
@@ -0,0 +1,88 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# RTB Bidding Algorithm Comparison β Audit Trail: Every Resource Read
|
| 2 |
+
|
| 3 |
+
> Generated: 2026-05-05
|
| 4 |
+
> This document lists every paper, codebase, dataset, and documentation page consulted.
|
| 5 |
+
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
## Papers Read (Methodology Sections)
|
| 9 |
+
|
| 10 |
+
| # | Paper | arXiv | Section(s) Read | Key Extraction |
|
| 11 |
+
|---|-------|-------|-----------------|----------------|
|
| 12 |
+
| 1 | Wang et al. β Learning to Bid in Repeated First-Price Auctions with Budgets | 2304.13477 | Section 3 (full) | Algorithm 1: DualOGD, equations (2)-(5), regret bound |
|
| 13 |
+
| 2 | Balseiro et al. β Dual Mirror Descent for Online Allocation | 2011.10124 | Section 3 (full) | Theorem 1, mirror descent dual update, stopping time analysis |
|
| 14 |
+
| 3 | Feng et al. β Online Bidding for RoS Constrained Advertisers | 2208.13713 | Section 3 (full) | Two-variable dual, multiplicative + sub-gradient updates, bid rule |
|
| 15 |
+
|
| 16 |
+
## Papers Reviewed (Abstracts + Details)
|
| 17 |
+
|
| 18 |
+
| # | Paper | arXiv | Venue | Year |
|
| 19 |
+
|---|-------|-------|-------|------|
|
| 20 |
+
| 4 | Cai et al. β RTB by RL in Display Advertising | 1701.02490 | WSDM | 2017 |
|
| 21 |
+
| 5 | Wang et al. β HiBid Hierarchical DRL Bidding | 2312.17503 | β | 2023 |
|
| 22 |
+
| 6 | Mao et al. β FinalMLP | 2304.00902 | AAAI | 2023 |
|
| 23 |
+
| 7 | Wang et al. β GDCN | 2311.04635 | CIKM | 2023 |
|
| 24 |
+
| 8 | Wang et al. β DCN V2 | 2008.13535 | WWW | 2021 |
|
| 25 |
+
| 9 | Zhu et al. β BARS-CTR Benchmark | 2009.05794 | CIKM | 2021 |
|
| 26 |
+
| 10 | β Robust Budget Pacing with a Single Sample | 2302.02006 | β | 2023 |
|
| 27 |
+
| 11 | β Multi-Channel Autobidding with Budget and ROI | 2302.01523 | β | 2023 |
|
| 28 |
+
| 12 | β No-Regret in Repeated FPA with Budgets | 2205.14572 | β | 2022 |
|
| 29 |
+
| 13 | β Dynamic Budget Throttling | 2207.04690 | β | 2022 |
|
| 30 |
+
| 14 | β AIGB: Generative Auto-bidding | 2405.16141 | β | 2024 |
|
| 31 |
+
| 15 | β Adaptive Bidding under Non-Stationarity | 2505.02796 | β | 2025 |
|
| 32 |
+
| 16 | β Joint Value Estimation and Bidding | 2502.17292 | β | 2025 |
|
| 33 |
+
| 17 | β Leveraging Hints: Adaptive Bidding | 2211.06358 | β | 2022 |
|
| 34 |
+
| 18 | β No-Regret is not enough! | 2405.06575 | β | 2024 |
|
| 35 |
+
| 19 | β Coordinated Dynamic Bidding in Second-Price | 2306.07709 | β | 2023 |
|
| 36 |
+
| 20 | β FCN: Fusing Cross Network | 2407.13349 | β | 2024 |
|
| 37 |
+
|
| 38 |
+
## Citation Graphs Traced
|
| 39 |
+
|
| 40 |
+
| # | Source Paper | Direction | Key Findings |
|
| 41 |
+
|---|-------------|-----------|-------------|
|
| 42 |
+
| 21 | Wang et al. 2304.13477 | Both (20 refs, 20 citations) | Trace to Balseiro 2020, contextual extension 2603.07207 |
|
| 43 |
+
|
| 44 |
+
## Datasets Inspected
|
| 45 |
+
|
| 46 |
+
| # | Dataset | Tool | Findings |
|
| 47 |
+
|---|---------|------|----------|
|
| 48 |
+
| 22 | reczoo/Criteo_x4 | hf_inspect_dataset | Verified: 45.8M rows, 13 dense + 26 cat, Label column, 5.6GB |
|
| 49 |
+
| 23 | reczoo/Avazu_x4 | hf_inspect_dataset | Verified: 40.4M rows, 22 fields, click column, 1.8GB |
|
| 50 |
+
| 24 | iPinYou (search) | hub_repo_search | NOT on HF Hub β external download only |
|
| 51 |
+
|
| 52 |
+
## Codebases Identified
|
| 53 |
+
|
| 54 |
+
| # | Repo | URL | Stars |
|
| 55 |
+
|---|------|-----|-------|
|
| 56 |
+
| 25 | han-cai/rlb-dp | https://github.com/han-cai/rlb-dp | 188 |
|
| 57 |
+
| 26 | reczoo/FuxiCTR | https://github.com/reczoo/FuxiCTR | Major |
|
| 58 |
+
| 27 | shenweichen/DeepCTR-Torch | https://github.com/shenweichen/DeepCTR-Torch | Major |
|
| 59 |
+
| 28 | Novartis/torchsurv | https://github.com/Novartis/torchsurv | 200 |
|
| 60 |
+
| 29 | openbenchmark/BARS | https://github.com/openbenchmark/BARS | 389 |
|
| 61 |
+
| 30 | dingmu365/budget_constrained_bidding | https://github.com/dingmu365/budget_constrained_bidding | β |
|
| 62 |
+
| 31 | GinNie23/budget_constrained_bidding | https://github.com/GinNie23/budget_constrained_bidding | β |
|
| 63 |
+
| 32 | venkatacrc/Budget_Constrained_Bidding | https://github.com/venkatacrc/Budget_Constrained_Bidding | β |
|
| 64 |
+
| 33 | salmon1802/FCN | https://github.com/salmon1802/FCN | β |
|
| 65 |
+
| 34 | hamverbot/rtb-bidding-comparison | https://huggingface.co/hamverbot/rtb-bidding-comparison | Your repo |
|
| 66 |
+
|
| 67 |
+
## External Resources
|
| 68 |
+
|
| 69 |
+
| # | Resource | URL |
|
| 70 |
+
|---|----------|-----|
|
| 71 |
+
| 35 | BARS CTR Criteo_x4 Leaderboard | https://openbenchmark.github.io/BARS/CTR/leaderboard/criteo_x4.html |
|
| 72 |
+
| 36 | BARS CTR Avazu Leaderboard | https://openbenchmark.github.io/BARS/CTR/leaderboard/avazu_x4.html |
|
| 73 |
+
| 37 | FuxiCTR Documentation | https://fuxictr.github.io/ |
|
| 74 |
+
| 38 | DeepCTR-Torch Documentation | https://deepctr-torch.readthedocs.io/ |
|
| 75 |
+
| 39 | TorchSurv Documentation | https://opensource.nibr.com/torchsurv/ |
|
| 76 |
+
| 40 | TorchSurv PyPI | https://pypi.org/project/torchsurv/ |
|
| 77 |
+
| 41 | fuxictr PyPI | https://pypi.org/project/fuxictr/ |
|
| 78 |
+
| 42 | deepctr-torch PyPI | https://pypi.org/project/deepctr-torch/ |
|
| 79 |
+
| 43 | iPinYou Dataset | data.computational-advertising.org |
|
| 80 |
+
| 44 | HF Papers Dashboard | https://huggingface.co/papers |
|
| 81 |
+
|
| 82 |
+
---
|
| 83 |
+
|
| 84 |
+
**Total resources consulted: 44**
|
| 85 |
+
- Papers: 20 (3 read in full methodology, 17 abstracts/details)
|
| 86 |
+
- Datasets: 3 inspected
|
| 87 |
+
- Codebases: 10 identified
|
| 88 |
+
- External references: 10 (leaderboards, docs, PyPI)
|