The following pages link to author name string (P43):
Displaying 50 items.
- IRS-Enhanced OFDMA: Joint Resource Allocation and Passive Beamforming Optimization (Q6330315) (← links)
- Continuous Online Learning and New Insights to Online Imitation Learning (Q6330321) (← links)
- Improved S-AF and S-DF Relaying Schemes Using Machine Learning Based Power Allocation Over Cascaded Rayleigh Fading Channels (Q6330330) (← links)
- Distributed Machine Learning with Sparse Heterogeneous Data (Q6330342) (← links)
- Stochastic Newton and Cubic Newton Methods with Simple Local Linear-Quadratic Rates (Q6330368) (← links)
- A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems (Q6330408) (← links)
- Causal structure based root cause analysis of outliers (Q6330541) (← links)
- Conditional Mutual Information Estimation for Mixed Discrete and Continuous Variables with Nearest Neighbors (Q6330636) (← links)
- Adaptive Trajectory Estimation with Power Limited Steering Model under Perturbation Compensation (Q6330689) (← links)
- Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization (Q6330764) (← links)
- Neural Networks as Geometric Chaotic Maps (Q6330873) (← links)
- Sub-sampling and other considerations for efficient risk estimation in large portfolios (Q6330930) (← links)
- High-Dimensional Granger Causality Tests with an Application to VIX and News (Q6331037) (← links)
- A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk Minimization (Q6331059) (← links)
- PyHessian: Neural Networks Through the Lens of the Hessian (Q6331159) (← links)
- Laguerre tessellations and polycrystalline microstructures: A fast algorithm for generating grains of given volumes (Q6331163) (← links)
- More Data Can Hurt for Linear Regression: Sample-wise Double Descent (Q6331173) (← links)
- ITENE: Intrinsic Transfer Entropy Neural Estimator (Q6331179) (← links)
- Learning under Model Misspecification: Applications to Variational and Ensemble methods (Q6331313) (← links)
- Generalized Residual Ratio Thresholding (Q6331363) (← links)
- A Theory of Trotter Error (Q6331379) (← links)
- Multilevel Initialization for Layer-Parallel Deep Neural Network Training (Q6331396) (← links)
- MVF Designer: Design and Visualization of Morse Vector Fields (Q6331484) (← links)
- An adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models (Q6331499) (← links)
- Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics (Q6331557) (← links)
- Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability (Q6331606) (← links)
- Quantifying the Effects of the 2008 Recession using the Zillow Dataset (Q6331753) (← links)
- Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems (Q6331902) (← links)
- SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions (Q6331912) (← links)
- Variance Reduced Local SGD with Lower Communication Complexity (Q6331995) (← links)
- Bayesian Tensor Network with Polynomial Complexity for Probabilistic Machine Learning (Q6332005) (← links)
- Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework (Q6332010) (← links)
- A Modern Introduction to Online Learning (Q6332057) (← links)
- Avoiding Spurious Local Minima in Deep Quadratic Networks (Q6332121) (← links)
- Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities (Q6332164) (← links)
- Second-Order Cone Relaxations of the Optimal Power Flow for Active Distribution Grids (Q6332257) (← links)
- From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems (Q6332321) (← links)
- Scalable Gradients for Stochastic Differential Equations (Q6332337) (← links)
- RBF-FD analysis of 2D time-domain acoustic wave propagation in heterogeneous media (Q6332388) (← links)
- An Efficient Gradient Projection Method for Structural Topology Optimization (Q6332432) (← links)
- Multiscale Proper Orthogonal Decomposition (mPOD) of TR-PIV data-- a Case Study on Stationary and Transient Cylinder Wake Flows (Q6332442) (← links)
- Unsupervised Learning for Passive Beamforming (Q6332491) (← links)
- Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering and Smoothing (Q6332504) (← links)
- Self-guided Approximate Linear Programs (Q6332553) (← links)
- Empirical bias-reducing adjustments to estimating functions (Q6332687) (← links)
- Universal Differential Equations for Scientific Machine Learning (Q6332809) (← links)
- Total Deep Variation for Linear Inverse Problems (Q6332892) (← links)
- Spike Train Cumulants for Linear-Nonlinear Poisson Cascade Models (Q6332896) (← links)
- An Efficient Algorithm for Designing Optimal CRCs for Tail-Biting Convolutional Codes (Q6333003) (← links)
- Learning Stable Deep Dynamics Models (Q6333020) (← links)
