2.7 KiB
2.7 KiB
thesis/work-history/recent
2026-08-28 Thu
- Pivoted Ch. 3 (method.tex) from TPR@FPR to AUC as primary objective: rewrote Problem Formulation with AUC integral as eq:objective-auc, fixed TPR/FPR notation to functions of τ, demoted single-threshold objectives to special case
- Reframed ROLL Framework intro to lead with AUC-via-numerical-integration story; NP framing moved to subordinate paragraph
- Renamed "General ROLL Formulation and Derivation" → "Per-Threshold ROLL Loss"; renamed "ROLL variant - direct AUC optimisation" → "ROLL-AOC: AUC Optimization" with rewritten intro positioning it as the primary objective
- Added ROLL-AOC framing sentence to each distribution instantiation (Gaussian, Beta, KDE)
- Added Corollary (gradient balance under ROLL-AOC) and Remark (gradient coverage broadening under ROLL-AOC) to Properties section; requalified Observation as single-threshold
- Explored all results-final CSVs; verified existing tables (KEEL clean, CIFAR-10N, large datasets) are correct — no changes needed
- Computed KEEL noise experiment aggregates (asymmetric noise at 5/10/20%, 10 episodes each, 12 datasets)
- Key finding: ROLL-AOC drops 3.7% from 0→20% noise; GCE/MAE drop 6–8% despite being designed for noise robustness; ROLL-AOC is #1 at 20% noise
- Renamed Ch. 4 "Label-Noise Poisoning Experiment" → "Label-Noise Robustness on KEEL"; wrote protocol and results prose; added tab:results:keel-noise with 4 noise levels × 8 methods
- Updated Summary section comments in experiments.tex with actual findings to synthesize
- Created thesis/experiments org-roam subnode with full data source map, key numbers table, and section status
- Restructured Ch. 2 (related_work.tex): new section order — ROC/AUC (2.1) → Noisy Labels (2.2) → KDE (2.3) → Imbalanced Classification (2.4) → NP (2.5) — to foreground AUC + noise as thesis core
- Dropped section 2.3 (Partial AUC and TPR@FPR) entirely; TPR@FPR objective absorbed into Imbalanced section, NP moved up
- Moved NP section from end of chapter to position 2.2, then later to 2.5 after deciding AUC+noise should open the chapter
- Wrote Section 2.2 (Connection to Neyman-Pearson / The Neyman-Pearson Lemma) with subsections: lemma statement, practical gap
- Fixed NP section typos: likelihood, cite, that
- Rewrote NP practical gap subsection for clarity and precision
- Fixed NP opening paragraph: corrected imprecise claim that AUC maximizes TPR at every FPR
- Added yuan2021auc bib entry (Yuan et al., ICCV 2021, LibAUC/PESG) and wired citations in AUC optimization in literature subsection and imbalanced classification section
- Added neyman1933ix bib entry (original 1933 NP paper)