Samyak Jha
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View article: Langevin Monte-Carlo Provably Learns Depth Two Neural Nets at Any Size and Data
Langevin Monte-Carlo Provably Learns Depth Two Neural Nets at Any Size and Data Open
In this work, we will establish that the Langevin Monte-Carlo algorithm can learn depth-2 neural nets of any size and for any data and we give non-asymptotic convergence rates for it. We achieve this via showing that under Total Variation …
View article: Global Convergence of SGD For Logistic Loss on Two Layer Neural Nets
Global Convergence of SGD For Logistic Loss on Two Layer Neural Nets Open
In this note, we demonstrate a first-of-its-kind provable convergence of SGD to the global minima of appropriately regularized logistic empirical risk of depth $2$ nets -- for arbitrary data and with any number of gates with adequately smo…
View article: IDENTIFICATION OF POTENTIAL ZONES FOR KIMBERLITEEXPLORATION – AN EARTH OBSERVATION APPROACH
IDENTIFICATION OF POTENTIAL ZONES FOR KIMBERLITEEXPLORATION – AN EARTH OBSERVATION APPROACH Open
In the present study, we have prepared the thematic evidence layers for identifying the potential zones of kimberlite emplacement in parts of Chhatarpur district, Madhya Pradesh. These thematic layers or evidence layers are geological stru…