:PROPERTIES:
:ID: 151159e8-1105-4a84-af9c-72d31c5e0660
:END:

#+title: thesis/todos
#+filetags: :project: :todo:

* Writing — chapters

* TODO Write Ch. 1 (Introduction)
  - Hook: imbalance + noise are everywhere, standard losses fail silently
  - Gap: no existing method does AUC optimization + noise robustness together
  - ROLL's claim: distributional objective, robustness as structural consequence
  - Close with chapter roadmap

* TODO Write Ch. 5 (Discussion)
  - Explain WHY ROLL-AOC is noise robust (KDE distributional fit vs isolated gradients)
  - Explain WHY Bank Marketing fails (open question, speculate honestly)
  - Explain WHY GCE/MAE fail under asymmetric imbalanced noise
  - Compare mechanism with LibAUC (same objective, different path)

* TODO Write Ch. 6 (Conclusion)
  - Summary: differentiable AUC surrogate via score-distribution fitting
  - Key result: noise robustness validated on KEEL (5/10/20%) and CIFAR-10N (≤40%)
  - Limitations: Bank Marketing, 99-pass cost, bandwidth scheduler hyperparameter
  - Future work: learned bandwidth, partial-AUC variant, multi-class extension

* TODO Finish Ch. 4 (Results) — remaining stubs
  - Write Summary section (sec:experiments:summary) — key points noted in comments
  - Decide: write or drop Ablation Study and Sensitivity Analysis sections
  - Fill all \cite{TODO} placeholders in experiments.tex

* TODO Review Ch. 4 (Results) end-to-end
  - Check narrative flow after noise section was added
  - Confirm KEEL/CIFAR-10N/large-dataset table interpretations are accurate
  - Verify roll-tpr90 is correctly described as secondary/special-case throughout

* Writing — front/back matter

* TODO Write English abstract
* TODO Write Hebrew abstract
* TODO Fill Acknowledgements (Main_pages/acknowledgements.tex)

* Writing — Ch. 2 & 3 loose ends

* TODO Verify alpha notation w.r.t. FPR — eq:fpr-cdf writes FPR(τ) = F̂₀(τ) and threshold as τ = F̂₀⁻¹(α), but standard FPR = P(score > τ | y=0) = 1−F₀(τ) requires τ = F̂₀⁻¹(1−α). Check for sign/notation inconsistency throughout method.tex and appendix_gauss_grad.tex.
* TODO Add graphs of CDF tracking for gaussian, KDE, roll.
* TODO Cite in sec:related-work (Ch. 2):
  - Benchmarking Deep AUROC Optimization (arXiv 2203.14177) — cite in 2.2 as survey of AUROC losses; finding: composite losses best overall, barrier hinge best under noise
  - LibAUC pAUCLoss / SOPAs (arXiv 2203.01505) — cite in 2.3 as partial AUC baseline
  - "Closing the Approximation Gap" (arXiv 2512.01213, Dec 2025) — cite in 2.3 as recent concurrent work on partial AUC
  - "When AUC meets DRO" — cite in 2.3 as DRO-based partial AUC approach

* Experiments — open questions

* TODO Debug banking dataset — results unexpectedly low (roll-aoc 0.511 vs GCE 0.746), investigate root cause
* TODO Check if LibAUC pAUCLoss (one-way partial AUC / SOPAs) should be added as baseline
  - Already have LibAUC as dependency; low-cost to add
  - Most direct competitor to roll-tpr90 (both target a fixed FPR region)
  - See: https://docs.libauc.org/examples/pauc.html

* Final pass

* TODO Build full PDF and proofread end-to-end
* TODO Check all cross-references (\Cref, \label) are consistent after restructuring
* TODO Verify Hebrew ToC entries match English section titles

* DONE [#A] Rerun keel noised experiments — data exists in results-final/keel-noise-05/10/20
* DONE Restructure thesis per mentor guidelines (2026-08-17)
  - [x] Focus framing on noise resistance + AUC solution (primary story)
  - [x] Minimize single-point optimization coverage (brief mention only)
  - [x] Ch. 2 restructured: ROC/AUC → Noisy Labels → KDE → Imbalanced → NP
  - [x] Ch. 3 restructured: AUC as primary objective, ROLL-AOC promoted
  - [x] Noise results table added to Ch. 4