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\n\u672c\u7814\u7a76\u306f\u3053\u308c\u3092\u3078\u30b7\u30a2\u30f3\u30fb\u30b9\u30da\u30af\u30c8\u30e9\u30fb\u30ec\u30f3\u30b8\u6b63\u5247\u5316\uff08HSR\u6b63\u5247\u5316\uff09<\/strong>\u3068\u540d\u3065\u3051\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u9ad8\u3044\u6c4e\u5316\u306b\u5c0e\u304f\u3053\u3068\u3092\u5b9f\u8a3c\u3057\u307e\u3057\u305f\u3002<\/p>\n

\u524d\u534a\uff1a\u640d\u5931\u306e\u92ed\u3055\u306e\u9589\u5f62\u5f0f\u89e3
\n[Abst.]<\/a> [pdf]<\/a> Y. Omae, Wolkowicz-Styan Upper Bound on the Hessian Eigenspectrum for Cross-Entropy Loss in Nonlinear Smooth Neural Networks, \u975e\u7dda\u5f62\u5e73\u6ed1\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u30af\u30ed\u30b9\u30a8\u30f3\u30c8\u30ed\u30d4\u30fc\u640d\u5931\u306e\u3078\u30b7\u30a2\u30f3\u56fa\u6709\u5024\u30b9\u30da\u30af\u30c8\u30eb\u306b\u5bfe\u3059\u308b\u30a6\u30a9\u30eb\u30b3\u30a6\u30a3\u30c3\u30c4\u30fb\u30b9\u30c6\u30a3\u30a2\u30f3\u306e\u4e0a\u754c<\/strong> <\/p>\n

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\n[Abst.]<\/a> [pdf]<\/a> Y. Omae, Closed-Form Steepest Descent Direction toward Flat Minima: Reducing Upper Bounds on the Loss Hessian Eigenspectrum in Neural Networks, \u5e73\u5766\u89e3\u3078\u306e\u6700\u6025\u964d\u4e0b\u65b9\u5411\u306e\u9589\u5f62\u5f0f\u8868\u73fe\uff1a\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u640d\u5931\u3078\u30b7\u30a2\u30f3\u306e\u56fa\u6709\u30b9\u30da\u30af\u30c8\u30eb\u4e0a\u754c\u306e\u524a\u6e1b<\/strong><\/p>\n

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