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Machine Learning
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Stochastic Methods
55 directly classified papers
Papers per year
2007: 1
2009: 1
2011: 2
2013: 1
2014: 2
2015: 2
2016: 2
2017: 2
2018: 5
2019: 6
2020: 5
2021: 9
2022: 4
2023: 7
2024: 4
2025: 2
Papers
Accelerated Mini-Batch Stochastic Dual Coordinate Ascent
NIPS 2013
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
NIPS 2011
Stochastic convex optimization with bandit feedback
NIPS 2011
Accelerated Gradient Methods for Stochastic Optimization and Online Learning
NIPS 2009
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains
NIPS 2007
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