Stochastic Methods
2,991 papers
Papers per year
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Papers
A Unified Approach for Maximizing Continuous DR-submodular Functions
NeurIPS 2023
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization
AISTATS 2023
A Variational Perspective on High-Resolution ODEs
NeurIPS 2023
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders
AISTATS 2023
A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.
ICLR 2023
Bandit Submodular Maximization for Multi-Robot Coordination in Unpredictable and Partially Observable Environments
RSS 2023
BANSAC: A Dynamic BAyesian Network for Adaptive SAmple Consensus
ICCV 2023
Bayesian Active Causal Discovery with Multi-Fidelity Experiments
NeurIPS 2023
Bayesian Optimization-Based Combinatorial Assignment
AAAI 2023
Best Arm Identification in Multi-Agent Multi-Armed Bandits
ICML 2023
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD
COLT 2023
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start
JMLR 2023
Bilevel Optimization with Coupled Decision-Dependent Distributions
ICML 2023
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
NeurIPS 2023
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization
ICML 2023
Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model
AISTATS 2023
Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise
COLT 2023
City-Scale Pollution Aware Traffic Routing by Sampling Max Flows Using MCMC
AAAI 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation
ICML 2023
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel
AISTATS 2023
Compressing Tabular Data via Latent Variable Estimation
ICML 2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time
AISTATS 2023
Computational 3D Imaging with Position Sensors
ICCV 2023
Concurrent Shuffle Differential Privacy Under Continual Observation
ICML 2023
Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking
CVPR 2023