repro-optimal-structure-learning-and-conditional-independence-testing / outputs /source_formula.json
| { | |
| "corollary_3_4": { | |
| "dual": "sum_k ||M_k||_nuclear", | |
| "muon_norm": "max_k ||W_k||_spectral" | |
| }, | |
| "corollary_3_5": { | |
| "hybrid_norm": "max{||W||_msp,||u||_infinity}" | |
| }, | |
| "definition_5_1": { | |
| "approximate_sd": "N(t)=integral nu diverges; norm(theta)/N bounded; liminf alignment r(t)>=1" | |
| }, | |
| "theorem_3_1": { | |
| "learning_rate": "integral_0^infinity eta(t) dt=infinity", | |
| "soft_margin": "varphi^{-1}(log(1/L(theta)))/||theta||^L" | |
| }, | |
| "theorem_3_2": { | |
| "conclusion": "normalized-direction limit points are directions of KKT points for the same norm" | |
| }, | |
| "theorem_3_6": { | |
| "adam": "epsilon=0, c1>=c2 (beta1<=beta2), decaying nonsummable eta", | |
| "margin_norm": "l_infinity" | |
| } | |
| } | |