The following pages link to has companion code repository (P1687):
Displaying 50 items.
- Optimal mini-batch and step sizes for SAGA (Q6313384) (← links)
- Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits (Q6313408) (← links)
- Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication (Q6313427) (← links)
- On the Bias of Directed Information Estimators (Q6313456) (← links)
- What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? (Q6313462) (← links)
- Learning Linear Dynamical Systems with Semi-Parametric Least Squares (Q6313489) (← links)
- Topology Optimization with Bilevel Knapsack: An Efficient 51 Lines MATLAB Code (Q6313508) (← links)
- Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions (Q6313522) (← links)
- SpinDoctor: a Matlab toolbox for diffusion MRI simulation (Q6313547) (← links)
- Riemannian adaptive stochastic gradient algorithms on matrix manifolds (Q6313564) (← links)
- Learning Hierarchical Interactions at Scale: A Convex Optimization Approach (Q6313611) (← links)
- Fast Mean Estimation with Sub-Gaussian Rates (Q6313661) (← links)
- On ADMM in Deep Learning: Convergence and Saturation-Avoidance (Q6313674) (← links)
- Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso (Q6313727) (← links)
- Lossless convexification of non-convex optimal control problems with disjoint semi-continuous inputs (Q6313753) (← links)
- A Smoother Way to Train Structured Prediction Models (Q6313818) (← links)
- Linear Dynamics & Control of Brain Networks (Q6313826) (← links)
- Efficient Primal-Dual Algorithms for Large-Scale Multiclass Classification (Q6313894) (← links)
- Topology Optimization under Uncertainty using a Stochastic Gradient-based Approach (Q6313978) (← links)
- Multivariate Fast Iterative Filtering for the decomposition of nonstationary signals (Q6314019) (← links)
- Stable-Predictive Optimistic Counterfactual Regret Minimization (Q6314033) (← links)
- A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting (Q6314046) (← links)
- The Many-to-Many Mapping Between the Concordance Correlation Coefficient and the Mean Square Error (Q6314052) (← links)
- Significance Tests for Neural Networks (Q6314130) (← links)
- Normalization by Evaluation for Call-by-Push-Value and Polarized Lambda-Calculus (Q6314144) (← links)
- ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems (Q6314171) (← links)
- Millimeter Wave Integrated Access and Backhaul in 5G: Performance Analysis and Design Insights (Q6314175) (← links)
- DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications (Q6314201) (← links)
- 2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs (Q6314297) (← links)
- A systematic classification of knotoids on the plane and on the sphere (Q6314306) (← links)
- LOSSGRAD: automatic learning rate in gradient descent (Q6314348) (← links)
- Correspondence Analysis Using Neural Networks (Q6314380) (← links)
- Hard Latency-Constraints for High-Throughput Random Access: SICQTA (Q6314399) (← links)
- Online Sampling from Log-Concave Distributions (Q6314429) (← links)
- Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods (Q6314437) (← links)
- Hybrid Beamforming for Millimeter Wave Systems Using the MMSE Criterion (Q6314442) (← links)
- Physical Adversarial Attacks Against End-to-End Autoencoder Communication Systems (Q6314446) (← links)
- Minor corrections to Nipp's tables of quaternary quadratic forms (Q6314454) (← links)
- AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs (Q6314462) (← links)
- Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions (Q6314514) (← links)
- Efficient online learning with kernels for adversarial large scale problems (Q6314650) (← links)
- Effect Inference from Two-Group Data with Sampling Bias (Q6314652) (← links)
- Introduction to "RORPack": A Python Software Library for Robust Output Regulation (Q6314653) (← links)
- Learning to Optimize Multigrid PDE Solvers (Q6314692) (← links)
- Quantized Polar Code Decoders: Analysis and Design (Q6314709) (← links)
- Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers (Q6314743) (← links)
- Convergence and Applications of ADMM on the Multi-convex Problems (Q6314772) (← links)
- Approximate Multiparametric Mixed-integer Convex Programming (Q6314785) (← links)
- Order conditions for exponential integrators (Q6314825) (← links)
- Multi-Criteria Dimensionality Reduction with Applications to Fairness (Q6314829) (← links)
