Stochastic Methods
2,991 papers
Papers per year
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2000
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Papers
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
NeurIPS 2022
Open Problem: Finite-Time Instance Dependent Optimality for Stochastic Online Learning with Feedback Graphs
COLT 2022
Open Problem: Regret Bounds for Noise-Free Kernel-Based Bandits
COLT 2022
Optimal Accounting of Differential Privacy via Characteristic Function
AISTATS 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities
NeurIPS 2022
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
ICML 2022
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
COLT 2022
Optimal estimation of Gaussian DAG models
AISTATS 2022
Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity
NeurIPS 2022
Optimal Sampling Gaps for Adaptive Submodular Maximization
AAAI 2022
Optimal Scaling for Locally Balanced Proposals in Discrete Spaces
NeurIPS 2022
Orbital MCMC
AISTATS 2022
Order-Invariant Cardinality Estimators Are Differentially Private
NeurIPS 2022
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
AAAI 2022
Perfect Sampling from Pairwise Comparisons
NeurIPS 2022
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo
AISTATS 2022
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums
AISTATS 2022
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
ICML 2022
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size
AISTATS 2022
Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited
IJCAI 2022
Private Streaming SCO in ℓ_p geometry with Applications in High Dimensional Online Decision Making
ICML 2022
Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback
AAAI 2022
ProtoBandit: Efficient Prototype Selection via
Multi-Armed Bandits
ACML 2022
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
NeurIPS 2022
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
ICML 2022