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# RTB Bidding Algorithm Comparison β€” Audit Trail: Every Resource Read

> Generated: 2026-05-05
> This document lists every paper, codebase, dataset, and documentation page consulted.

---

## Papers Read (Methodology Sections)

| # | Paper | arXiv | Section(s) Read | Key Extraction |
|---|-------|-------|-----------------|----------------|
| 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 |
| 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 |
| 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 |

## Papers Reviewed (Abstracts + Details)

| # | Paper | arXiv | Venue | Year |
|---|-------|-------|-------|------|
| 4 | Cai et al. β€” RTB by RL in Display Advertising | 1701.02490 | WSDM | 2017 |
| 5 | Wang et al. β€” HiBid Hierarchical DRL Bidding | 2312.17503 | β€” | 2023 |
| 6 | Mao et al. β€” FinalMLP | 2304.00902 | AAAI | 2023 |
| 7 | Wang et al. β€” GDCN | 2311.04635 | CIKM | 2023 |
| 8 | Wang et al. β€” DCN V2 | 2008.13535 | WWW | 2021 |
| 9 | Zhu et al. β€” BARS-CTR Benchmark | 2009.05794 | CIKM | 2021 |
| 10 | β€” Robust Budget Pacing with a Single Sample | 2302.02006 | β€” | 2023 |
| 11 | β€” Multi-Channel Autobidding with Budget and ROI | 2302.01523 | β€” | 2023 |
| 12 | β€” No-Regret in Repeated FPA with Budgets | 2205.14572 | β€” | 2022 |
| 13 | β€” Dynamic Budget Throttling | 2207.04690 | β€” | 2022 |
| 14 | β€” AIGB: Generative Auto-bidding | 2405.16141 | β€” | 2024 |
| 15 | β€” Adaptive Bidding under Non-Stationarity | 2505.02796 | β€” | 2025 |
| 16 | β€” Joint Value Estimation and Bidding | 2502.17292 | β€” | 2025 |
| 17 | β€” Leveraging Hints: Adaptive Bidding | 2211.06358 | β€” | 2022 |
| 18 | β€” No-Regret is not enough! | 2405.06575 | β€” | 2024 |
| 19 | β€” Coordinated Dynamic Bidding in Second-Price | 2306.07709 | β€” | 2023 |
| 20 | β€” FCN: Fusing Cross Network | 2407.13349 | β€” | 2024 |

## Citation Graphs Traced

| # | Source Paper | Direction | Key Findings |
|---|-------------|-----------|-------------|
| 21 | Wang et al. 2304.13477 | Both (20 refs, 20 citations) | Trace to Balseiro 2020, contextual extension 2603.07207 |

## Datasets Inspected

| # | Dataset | Tool | Findings |
|---|---------|------|----------|
| 22 | reczoo/Criteo_x4 | hf_inspect_dataset | Verified: 45.8M rows, 13 dense + 26 cat, Label column, 5.6GB |
| 23 | reczoo/Avazu_x4 | hf_inspect_dataset | Verified: 40.4M rows, 22 fields, click column, 1.8GB |
| 24 | iPinYou (search) | hub_repo_search | NOT on HF Hub β€” external download only |

## Codebases Identified

| # | Repo | URL | Stars |
|---|------|-----|-------|
| 25 | han-cai/rlb-dp | https://github.com/han-cai/rlb-dp | 188 |
| 26 | reczoo/FuxiCTR | https://github.com/reczoo/FuxiCTR | Major |
| 27 | shenweichen/DeepCTR-Torch | https://github.com/shenweichen/DeepCTR-Torch | Major |
| 28 | Novartis/torchsurv | https://github.com/Novartis/torchsurv | 200 |
| 29 | openbenchmark/BARS | https://github.com/openbenchmark/BARS | 389 |
| 30 | dingmu365/budget_constrained_bidding | https://github.com/dingmu365/budget_constrained_bidding | β€” |
| 31 | GinNie23/budget_constrained_bidding | https://github.com/GinNie23/budget_constrained_bidding | β€” |
| 32 | venkatacrc/Budget_Constrained_Bidding | https://github.com/venkatacrc/Budget_Constrained_Bidding | β€” |
| 33 | salmon1802/FCN | https://github.com/salmon1802/FCN | β€” |
| 34 | hamverbot/rtb-bidding-comparison | https://huggingface.co/hamverbot/rtb-bidding-comparison | Your repo |

## External Resources

| # | Resource | URL |
|---|----------|-----|
| 35 | BARS CTR Criteo_x4 Leaderboard | https://openbenchmark.github.io/BARS/CTR/leaderboard/criteo_x4.html |
| 36 | BARS CTR Avazu Leaderboard | https://openbenchmark.github.io/BARS/CTR/leaderboard/avazu_x4.html |
| 37 | FuxiCTR Documentation | https://fuxictr.github.io/ |
| 38 | DeepCTR-Torch Documentation | https://deepctr-torch.readthedocs.io/ |
| 39 | TorchSurv Documentation | https://opensource.nibr.com/torchsurv/ |
| 40 | TorchSurv PyPI | https://pypi.org/project/torchsurv/ |
| 41 | fuxictr PyPI | https://pypi.org/project/fuxictr/ |
| 42 | deepctr-torch PyPI | https://pypi.org/project/deepctr-torch/ |
| 43 | iPinYou Dataset | data.computational-advertising.org |
| 44 | HF Papers Dashboard | https://huggingface.co/papers |

---

**Total resources consulted: 44**
- Papers: 20 (3 read in full methodology, 17 abstracts/details)
- Datasets: 3 inspected
- Codebases: 10 identified
- External references: 10 (leaderboards, docs, PyPI)