The following pages link to has companion code repository (P1687):
Displaying 50 items.
- Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models (Q6304127) (← links)
- Sparse sum-of-squares (SOS) optimization: A bridge between DSOS/SDSOS and SOS optimization for sparse polynomials (Q6304215) (← links)
- Confidence Intervals for Testing Disparate Impact in Fair Learning (Q6304307) (← links)
- Jensen: An Easily-Extensible C++ Toolkit for Production-Level Machine Learning and Convex Optimization (Q6304329) (← links)
- Evaluation of the Effectiveness of the Frobenius Primality Test (Q6304389) (← links)
- Sparse Averages of Partial Sums of Fourier Series (Q6304427) (← links)
- Information estimation using nonparametric copulas (Q6304463) (← links)
- Large-Scale-Fading Decoding in Cellular Massive MIMO Systems with Spatially Correlated Channels (Q6304469) (← links)
- A Convex Formulation for Binary Tomography (Q6304595) (← links)
- Greedy regularized kernel interpolation (Q6304630) (← links)
- A computational geometry method for the inverse scattering problem (Q6304639) (← links)
- Bayesian Optimal Design of Experiments For Inferring The Statistical Expectation Of A Black-Box Function (Q6304672) (← links)
- Towards Optimal Power Control via Ensembling Deep Neural Networks (Q6304678) (← links)
- IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks (Q6304726) (← links)
- A multi-contrast MRI approach to thalamus segmentation (Q6304753) (← links)
- Stochastic Gradient Descent with Biased but Consistent Gradient Estimators (Q6304868) (← links)
- Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks (Q6304912) (← links)
- Robust Tracking with Model Mismatch for Fast and Safe Planning: an SOS Optimization Approach (Q6304929) (← links)
- Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems (Q6305005) (← links)
- Spatial Deep Learning for Wireless Scheduling (Q6305024) (← links)
- Scalability Analysis of a LoRa Network under Imperfect Orthogonality (Q6305065) (← links)
- Learning to Share and Hide Intentions using Information Regularization (Q6305109) (← links)
- Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning (Q6305128) (← links)
- On the Solvability of Viewing Graphs (Q6305200) (← links)
- Does Hamiltonian Monte Carlo mix faster than a random walk on multimodal densities? (Q6305246) (← links)
- Learning Parameters and Constitutive Relationships with Physics Informed Deep Neural Networks (Q6305268) (← links)
- Blockchained On-Device Federated Learning (Q6305329) (← links)
- Multi-Sector and Multi-Panel Performance in 5G mmWave Cellular Networks (Q6305425) (← links)
- Backtracking gradient descent method for general $C^1$ functions, with applications to Deep Learning (Q6305455) (← links)
- Generating Graphs with Symmetry (Q6305457) (← links)
- A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning (Q6305482) (← links)
- Transference Plans and Uncertainty (Q6305512) (← links)
- Faster PET Reconstruction with Non-Smooth Priors by Randomization and Preconditioning (Q6305683) (← links)
- Multivariate Extension of Matrix-based Renyi's \alpha-order Entropy Functional (Q6305764) (← links)
- Continuous time Gaussian process dynamical models in gene regulatory network inference (Q6305791) (← links)
- An Experimental Comparison of SONC and SOS Certificates for Unconstrained Optimization (Q6305813) (← links)
- Bernstein-Bezier weight-adjusted discontinuous Galerkin methods for wave propagation in heterogeneous media (Q6305837) (← links)
- SPULTRA: Low-Dose CT Image Reconstruction with Joint Statistical and Learned Image Models (Q6305853) (← links)
- Measuring the Volatility of the Political agenda in Public Opinion and News Media (Q6305872) (← links)
- A Universal Bijection for Catalan Structures (Q6305880) (← links)
- Boosting Binary Optimization via Binary Classification: A Case Study of Job Shop Scheduling (Q6306086) (← links)
- Categories of Optics (Q6306184) (← links)
- A class of orders with linear? time sorting algorithm (Q6306216) (← links)
- IKA: Independent Kernel Approximator (Q6306267) (← links)
- Deep Joint Source-Channel Coding for Wireless Image Transmission (Q6306307) (← links)
- Rectangular maximum volume and projective volume search algorithms (Q6306372) (← links)
- Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise (Q6306512) (← links)
- Nonlinear stationary subdivision schemes that reproduce trigonometric functions (Q6306540) (← links)
- A rapid and well-conditioned algorithm for the Helmholtz--Hodge decomposition of vector fields on the sphere (Q6306634) (← links)
- Hamiltonian Descent Methods (Q6306690) (← links)
