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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
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search
L4DC 2021
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning
L4DC 2021
Fast and Light Bandwidth Testing for Internet Users
NSDI 2021
Sum-product laws and efficient algorithms for imprecise Markov chains
UAI 2021
Nearest neighbor search under uncertainty
UAI 2021
Efficient online inference for nonparametric mixture models
UAI 2021
No-regret approximate inference via Bayesian optimisation
UAI 2021
Geometric rates of convergence for kernel-based sampling algorithms
UAI 2021
When is particle filtering efficient for planning in partially observed linear dynamical systems?
UAI 2021
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
AISTATS 2021
Accelerating Stratified Sampling SGD by Reconstructing Strata
IJCAI 2020
An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays
AISTATS 2020
On the interplay between noise and curvature and its effect on optimization and generalization
AISTATS 2020
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option
AISTATS 2020
PACEMAKER: Avoiding HeART attacks in storage clusters with disk-adaptive redundancy
OSDI 2020
Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes
AISTATS 2020
Comb Decoding towards Collision-Free WiFi
NSDI 2020
Differentially Private Small Dataset Release Using Random Projections
UAI 2020
Zeroth Order Non-convex optimization with Dueling-Choice Bandits
UAI 2020
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation
UAI 2020
Variance Reduction for Evolution Strategies via Structured Control Variates
AISTATS 2020
Sublinear Optimal Policy Value Estimation in Contextual Bandits
AISTATS 2020
Stochastic Recursive Variance-Reduced Cubic Regularization Methods
AISTATS 2020
Adaptive multi-fidelity optimization with fast learning rates
AISTATS 2020
Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach
IJCAI 2020
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