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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
Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach
AISTATS 2019
Lifted Message Passing for Hybrid Probabilistic Inference
IJCAI 2019
Efficiently avoiding saddle points with zero order methods: No gradients required
NIPS 2019
Differentiable reservoir computing
JMLR 2019
Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions
COLT 2019
Nostalgic Adam: Weighting More of the Past Gradients When Designing the Adaptive Learning Rate
IJCAI 2019
Log-concave sampling: Metropolis-Hastings algorithms are fast
JMLR 2019
Crawling the Community Structure of Multiplex Networks
AAAI 2019
Persistence Bag-of-Words for Topological Data Analysis
IJCAI 2019
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation
AAAI 2019
Learning Adaptive Random Features
AAAI 2019
Scheduling Jobs with Stochastic Processing Time on Parallel Identical Machines
IJCAI 2019
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
NIPS 2019
No-Regret Learning in Unknown Games with Correlated Payoffs
NIPS 2019
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
NIPS 2019
High-Dimensional Optimization in Adaptive Random Subspaces
NIPS 2019
SpiderBoost and Momentum: Faster Variance Reduction Algorithms
NIPS 2019
Reachable Space Characterization of Markov Decision Processes with Time Variability
RSS 2019
Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints
IJCAI 2019
Efficient Non-parametric Bayesian Hawkes Processes
IJCAI 2019
A Fast Sampling Algorithm for Maximum Inner Product Search
AISTATS 2019
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization
NIPS 2019
Optimal Pricing in Repeated Posted-Price Auctions with Different Patience of the Seller and the Buyer
NIPS 2019
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
NIPS 2019
Communication trade-offs for Local-SGD with large step size
NIPS 2019
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