rtb-bidding-comparison / AUDIT_TRAIL.md
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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)