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Methodology
← Optimization
Mathematics & Optimization
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Optimization
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Stochastic Methods
2788 directly classified papers
Papers per year
2000: 1
2002: 2
2003: 5
2004: 1
2005: 2
2006: 10
2007: 13
2008: 16
2009: 15
2010: 23
2011: 33
2012: 43
2013: 69
2014: 77
2015: 82
2016: 112
2017: 144
2018: 173
2019: 265
2020: 292
2021: 316
2022: 314
2023: 353
2024: 307
2025: 98
2026: 22
Papers
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling
NIPS 2016
Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution
NIPS 2016
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM
NIPS 2016
Stochastic Optimization for Large-scale Optimal Transport
NIPS 2016
Spectral Learning of Dynamic Systems from Nonequilibrium Data
NIPS 2016
The SNOW Theorem and Latency-Optimal Read-Only Transactions
OSDI 2016
A Novel Risk-Estimation-Theoretic Framework for Speech Enhancement in Nonstationary and Non-Gaussian Noise Conditions
INTERSPEECH 2016
Random Features for Sparse Signal Classification
CVPR 2016
Highway Vehicle Counting in Compressed Domain
CVPR 2016
A Consensus-Based Framework for Distributed Bundle Adjustment
CVPR 2016
Frequency Estimation from Waveforms Using Multi-Layered Neural Networks
INTERSPEECH 2016
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms
JMLR 2016
Differentially Private Data Releasing for Smooth Queries
JMLR 2016
Pairwise Matching Through Max-Weight Bipartite Belief Propagation
CVPR 2016
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models
JMLR 2016
Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient
ICML 2016
Online Learning with Feedback Graphs Without the Graphs
ICML 2016
PAC Lower Bounds and Efficient Algorithms for The Max K-Armed Bandit Problem
ICML 2016
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning
ICML 2016
Anytime Exploration for Multi-armed Bandits using Confidence Information
ICML 2016
Estimating Maximum Expected Value through Gaussian Approximation
ICML 2016
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order
NIPS 2016
Optimal Learning for Multi-pass Stochastic Gradient Methods
NIPS 2016
Verification Based Solution for Structured MAB Problems
NIPS 2016
Accelerating Stochastic Composition Optimization
NIPS 2016
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