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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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0.3%0.5%0.8%0.1% · Oct 202219922001200920172026
3 results for “dropout-stability”
Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergencecs.LG

Paper analyzes SHB method for neural networks, proving stability, connectivity, and global convergence.

problem Theoretical understanding of SHB method for neural networks.
method Mean-field analysis of SHB dynamics related to a partial differential equation.
result SHB method converges to global optimum and exhibits stability and connectivity.
stochastic heavy ball methodneural networksmean-field analysisglobal convergencedropout-stability
2022-10-13abs ↗pdf ↗
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networkscs.LG

SGD with over-param. makes neural net landscape connected, aiding optimization.

problem Spurious local minima and disconnected landscape in neural networks optimization.
method Stochastic Gradient Descent (SGD) with over-parameterization.
result SGD solutions are connected via a piecewise linear path, making the landscape approximately connected.
neural networksstochastic gradient descentover-parameterizationlandscape connectivitydropout stability
2019-12-20abs ↗pdf ↗