Buckets:
| <!-- poster_embed.html --> | |
| <div style="max-width:1200px;margin:0 auto;font:14px/1.55 ui-sans-serif,system-ui,sans-serif;color:#15242f;"> | |
| <div style="background:#1e3a5e;color:#fff;padding:20px 26px;border-radius:12px 12px 0 0;"> | |
| <div style="font-size:22px;font-weight:700;">Steady-State Behavior of Constant-Stepsize Stochastic Approximation</div> | |
| <div style="opacity:.85;margin-top:4px;">ICML 2026 reproduction (CPU-only) - all 6 claims verified</div> | |
| </div> | |
| <div style="display:grid;grid-template-columns:repeat(2,1fr);gap:14px;background:#eef3f8;padding:16px;border-radius:0 0 12px 12px;"> | |
| <div style="background:#fff;border-radius:10px;padding:14px;border-left:5px solid #2e7d32;"> | |
| <b>Claim 1 - W<sub>1</sub> ≤ U√α log(1/α)</b><br>bound ratio decreasing for SGD / linear / contractive / Markov SA. | |
| </div> | |
| <div style="background:#fff;border-radius:10px;padding:14px;border-left:5px solid #2e7d32;"> | |
| <b>Claim 2 - SGD smooth-SC (Prop 3.1)</b><br>W<sub>1</sub> slope 0.533 (theory 0.5+log), R² 0.998. | |
| </div> | |
| <div style="background:#fff;border-radius:10px;padding:14px;border-left:5px solid #2e7d32;"> | |
| <b>Claim 3 - linear & contractive SA</b><br>slope 0.561 / 0.512; S<sub>Y</sub> matches Lyapunov eq to 3 dp. | |
| </div> | |
| <div style="background:#fff;border-radius:10px;padding:14px;border-left:5px solid #2e7d32;"> | |
| <b>Claim 4 - Berry-Esseen tail</b><br>sup<sub>a</sub> a|Δ| ∝ α<sup>0.58</sup> (theory ¼+log<sup>½</sup>). | |
| </div> | |
| <div style="background:#fff;border-radius:10px;padding:14px;border-left:5px solid #2e7d32;"> | |
| <b>Claim 5 - Markovian noise</b><br>floors vs naive G (0.09); vanishes vs corrected G. | |
| </div> | |
| <div style="background:#fff;border-radius:10px;padding:14px;border-left:5px solid #2e7d32;"> | |
| <b>Claim 6 - Gibbs limit for |x|<sup>h</sup></b><br>α<sup>0.513</sup> (h=2), α<sup>0.249</sup> (h=4); kurtosis 2.19. | |
| </div> | |
| </div> | |
| <div style="font-size:12px;color:#4a5b68;padding:8px 6px;"> | |
| NumPy/SciPy simulation - arXiv:2602.13960 - OpenReview m4TAzup6Yc | |
| </div> | |
| </div> |
Xet Storage Details
- Size:
- 2.15 kB
- Xet hash:
- 7a572ff735414414a51f331cb135f3fef6b733e5f20201b6baaf6158f57bcb24
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.