The following pages link to has companion code repository (P1687):
Displaying 50 items.
- Comparing EM with GD in Mixture Models of Two Components (Q6321742) (← links)
- Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection (Q6321747) (← links)
- Residual Entropy (Q6321762) (← links)
- SVGD: A Virtual Gradients Descent Method for Stochastic Optimization (Q6321785) (← links)
- Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization (Q6321826) (← links)
- A Projectional Ansatz to Reconstruction (Q6321868) (← links)
- Data-Driven Screening of Network Constraints for Unit Commitment (Q6321874) (← links)
- Single Image Super-Resolution via CNN Architectures and TV-TV Minimization (Q6321950) (← links)
- Adaptive Regularization Parameter Choice Rules for Large-Scale Problems (Q6321990) (← links)
- The Kuramoto model on a sphere: Explaining its low-dimensional dynamics with group theory and hyperbolic geometry (Q6322207) (← links)
- Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression (Q6322210) (← links)
- Ordinal pattern probabilities for symmetric random walks (Q6322211) (← links)
- A Fisher Information Analysis of Joint Localization and Synchronization in Near Field (Q6322243) (← links)
- Stability selection enables robust learning of partial differential equations from limited noisy data (Q6322290) (← links)
- Search-Based Motion Planning for Performance Autonomous Driving (Q6322292) (← links)
- Federated Principal Component Analysis (Q6322324) (← links)
- A Graph Neural Network Approach for Scalable Wireless Power Control (Q6322367) (← links)
- End-to-end Learning for GMI Optimized Geometric Constellation Shape (Q6322371) (← links)
- Kernel Mode Decomposition and programmable/interpretable regression networks (Q6322377) (← links)
- signADAM: Learning Confidences for Deep Neural Networks (Q6322444) (← links)
- Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization (Q6322473) (← links)
- Decentralized Deep Learning with Arbitrary Communication Compression (Q6322498) (← links)
- Stochastic algorithms with geometric step decay converge linearly on sharp functions (Q6322514) (← links)
- Efficient Deep Learning Techniques for Multiphase Flow Simulation in Heterogeneous Porous Media (Q6322518) (← links)
- Achievable Rate Region for Iterative Multi-User Detection via Low-cost Gaussian Approximation (Q6322522) (← links)
- Multiscale modelling of microscale heterogeneous systems: analysis supports systematic and efficient macroscale modelling and simulation (Q6322532) (← links)
- Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions (Q6322595) (← links)
- Robust and Communication-Efficient Collaborative Learning (Q6322639) (← links)
- A simple Newton method for local nonsmooth optimization (Q6322752) (← links)
- Learning and Interpreting Potentials for Classical Hamiltonian Systems (Q6322766) (← links)
- DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks (Q6322775) (← links)
- A Higher-Order Swiss Army Infinitesimal Jackknife (Q6322805) (← links)
- Guaranteed optimal reachability control of reaction-diffusion equations using one-sided Lipschitz constants and model reduction (Q6322810) (← links)
- A Theoretical Case Study of Structured Variational Inference for Community Detection (Q6322819) (← links)
- Discovering Association with Copula Entropy (Q6322831) (← links)
- Analysis of conforming, non-matching, and polygonal methods for Darcy and advection-diffusion-reaction simulations in discrete fracture networks (Q6322848) (← links)
- Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization (Q6322907) (← links)
- Persistence Concepts for 2D Skeleton Evolution Analysis (Q6322957) (← links)
- pySOT and POAP: An event-driven asynchronous framework for surrogate optimization (Q6323033) (← links)
- A Prym variety with everywhere good reduction over $\mathbb{Q}(\sqrt{61})$ (Q6323034) (← links)
- Low-Rank plus Sparse Decomposition of Covariance Matrices using Neural Network Parametrization (Q6323042) (← links)
- Calibrating the Adaptive Learning Rate to Improve Convergence of ADAM (Q6323068) (← links)
- Multi-Scale Learned Iterative Reconstruction (Q6323104) (← links)
- StateSpaceModels.jl: a Julia Package for Time-Series Analysis in a State-Space Framework (Q6323214) (← links)
- Finite-Horizon Optimal Control of Boolean Control Networks: A Unified Graph-Theoretical Approach (Q6323244) (← links)
- An Algorithm for Graph-Fused Lasso Based on Graph Decomposition (Q6323283) (← links)
- Multiplex graph matching matched filters (Q6323309) (← links)
- Towards closing the gap between the theory and practice of SVRG (Q6323324) (← links)
- The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms (Q6323344) (← links)
- Scalable Cell-Free Massive MIMO Systems (Q6323389) (← links)
