conftrace_
← Optimization
Mathematics & Optimization › Optimization ›

Stochastic Methods

2,788 papers

Papers per year

1
2
23
82
292
98
'00
'05
'10
'15
'20
'25

Papers

On Importance Sampling-Based Evaluation of Latent Language Models ACL 2020
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change ACL 2020
Guarantees of Stochastic Greedy Algorithms for Non-monotone Submodular Maximization with Cardinality Constraint AISTATS 2020
Variance Reduction for Evolution Strategies via Structured Control Variates AISTATS 2020
Distributionally Robust Formulation and Model Selection for the Graphical Lasso AISTATS 2020
A Unified Statistically Efficient Estimation Framework for Unnormalized Models AISTATS 2020
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms AISTATS 2020
The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions AISTATS 2020
A Locally Adaptive Bayesian Cubature Method AISTATS 2020
Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes AISTATS 2020
RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization AISTATS 2020
Bandit Convex Optimization in Non-stationary Environments AISTATS 2020
DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate AISTATS 2020
Online Learning Using Only Peer Prediction AISTATS 2020
Integrals over Gaussians under Linear Domain Constraints AISTATS 2020
Fast Markov chain Monte Carlo algorithms via Lie groups AISTATS 2020
Mixed Strategies for Robust Optimization of Unknown Objectives AISTATS 2020
An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays AISTATS 2020
Tensorized Random Projections AISTATS 2020
Adaptive multi-fidelity optimization with fast learning rates 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
Hamiltonian Monte Carlo Swindles AISTATS 2020
Gaussian Sketching yields a J-L Lemma in RKHS AISTATS 2020
Stochastic Recursive Variance-Reduced Cubic Regularization Methods AISTATS 2020