← Optimization
Mathematics & Optimization › Optimization ›

Stochastic Methods

2788 directly classified papers

Papers per year

Papers

A Partitioned-Block Frequency-Domain Adaptive Kalman Filter for Stereophonic Acoustic Echo Cancellation INTERSPEECH 2021
Evolution Strategies for Approximate Solution of Bayesian Games AAAI 2021
Fast and Compact Bilinear Pooling by Shifted Random Maclaurin AAAI 2021
Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021
Couplings for Multinomial Hamiltonian Monte Carlo AISTATS 2021
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information AISTATS 2021
Calibrated Adaptive Probabilistic ODE Solvers AISTATS 2021
Rao-Blackwellised parallel MCMC AISTATS 2021
Experimental Design for Regret Minimization in Linear Bandits AISTATS 2021
Personalized Extractive Summarization Using an Ising Machine Towards Real-time Generation of Efficient and Coherent Dialogue Scenarios EMNLP 2021
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security AAAI 2021
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization AAAI 2021
The Smoothed Complexity of Computing Kemeny and Slater Rankings AAAI 2021
The ensmallen library for flexible numerical optimization JMLR 2021
Polarimetric Normal Stereo CVPR 2021
SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method IJCAI 2021
Segcache: a memory-efficient and scalable in-memory key-value cache for small objects NSDI 2021
When to Hedge in Interactive Services NSDI 2021
DORO: Distributional and Outlier Robust Optimization ICML 2021
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations ICML 2021
On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients ICML 2021
Evolutionary Gradient Descent for Non-convex Optimization IJCAI 2021
Approximating the Shapley Value Using Stratified Empirical Bernstein Sampling IJCAI 2021
Efficient debiased evidence estimation by multilevel Monte Carlo sampling UAI 2021