The following pages link to extracted from (P1689):
Displaying 50 items.
- Quasi-Deterministic Channel Model for mmWaves: Mathematical Formalization and Validation (Q6341861) (← links)
- On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators (Q6341877) (← links)
- A fast and simple modification of Newton's method helping to avoid saddle points (Q6341898) (← links)
- A Randomized Algorithm to Reduce the Support of Discrete Measures (Q6341948) (← links)
- Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization (Q6341949) (← links)
- Carath\'eodory Sampling for Stochastic Gradient Descent (Q6341957) (← links)
- Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces (Q6341998) (← links)
- Variational Mutual Information Maximization Framework for VAE Latent Codes with Continuous and Discrete Priors (Q6342002) (← links)
- Indoor and Outdoor Physical Channel Modeling and Efficient Positioning for Reconfigurable Intelligent Surfaces in mmWave Bands (Q6342004) (← links)
- Non-Euclidean Universal Approximation (Q6342020) (← links)
- Optimizing Neural Networks via Koopman Operator Theory (Q6342025) (← links)
- SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence (Q6342055) (← links)
- Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form (Q6342068) (← links)
- Asymptotic Analysis of Conditioned Stochastic Gradient Descent (Q6342091) (← links)
- Single-step deep reinforcement learning for open-loop control of laminar and turbulent flows (Q6342122) (← links)
- Deep learning-based reduced order models in cardiac electrophysiology (Q6342126) (← links)
- Semi-device-dependent blind quantum tomography (Q6342129) (← links)
- Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems (Q6342135) (← links)
- Online Motion Planning based on Nonlinear Model Predictive Control with Non-Euclidean Rotation Groups (Q6342205) (← links)
- DINO: Distributed Newton-Type Optimization Method (Q6342224) (← links)
- MMSE Bounds Under Kullback-Leibler Divergence Constraints on the Joint Input-Output Distribution (Q6342227) (← links)
- Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies (Q6342251) (← links)
- Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control (Q6342257) (← links)
- Random circuit block-encoded matrix and a proposal of quantum LINPACK benchmark (Q6342268) (← links)
- Black-box Mixed-Variable Optimisation using a Surrogate Model that Satisfies Integer Constraints (Q6342347) (← links)
- The Dual Information Bottleneck (Q6342371) (← links)
- Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering (Q6342383) (← links)
- The Heavy-Tail Phenomenon in SGD (Q6342386) (← links)
- Nonlinear Higher-Order Label Spreading (Q6342391) (← links)
- Benchmark Computation of Morphological Complexity in the Functionalized Cahn-Hilliard Gradient Flow (Q6342401) (← links)
- Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability (Q6342402) (← links)
- Near-Optimal Confidence Sequences for Bounded Random Variables (Q6342423) (← links)
- Coverage probability in wireless networks with determinantal scheduling (Q6342426) (← links)
- Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization (Q6342430) (← links)
- Phase retrieval in high dimensions: Statistical and computational phase transitions (Q6342452) (← links)
- Privacy For Free: Wireless Federated Learning Via Uncoded Transmission With Adaptive Power Control (Q6342487) (← links)
- Simultaneous Decision Making for Stochastic Multi-echelon Inventory Optimization with Deep Neural Networks as Decision Makers (Q6342511) (← links)
- Random Reshuffling: Simple Analysis with Vast Improvements (Q6342566) (← links)
- A Variational Approach to Privacy and Fairness (Q6342621) (← links)
- Uplink and Downlink MIMO-NOMA with Simultaneous Triangularization (Q6342642) (← links)
- AdaS: Adaptive Scheduling of Stochastic Gradients (Q6342660) (← links)
- CoinPress: Practical Private Mean and Covariance Estimation (Q6342664) (← links)
- One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers (Q6342685) (← links)
- Convergence Analysis of Accelerated Stochastic Gradient Descent under the Growth Condition (Q6342687) (← links)
- On Computing the Kronecker Structure of Polynomial and Rational Matrices using Julia (Q6342701) (← links)
- Adaptive Gradient Methods Converge Faster with Over-Parameterization (but you should do a line-search) (Q6342704) (← links)
- Robust Optimization and Inference on Manifolds (Q6342708) (← links)
- Exploring Algorithmic Fairness in Robust Graph Covering Problems (Q6342714) (← links)
- MomentumRNN: Integrating Momentum into Recurrent Neural Networks (Q6342721) (← links)
- Kernel Distributionally Robust Optimization (Q6342731) (← links)
