The following pages link to has companion code repository (P1687):
Displaying 50 items.
- Deep Channel Learning For Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems (Q6333753) (← links)
- A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate Regression in Brain Connectivity Analysis (Q6333837) (← links)
- A new 1.375-approximation algorithm for Sorting By Transpositions (Q6333844) (← links)
- Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning (Q6333902) (← links)
- Thompson Sampling Algorithms for Mean-Variance Bandits (Q6333935) (← links)
- Cohomology fractals (Q6333937) (← links)
- Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree (Q6333993) (← links)
- Complexity Guarantees for Polyak Steps with Momentum (Q6334058) (← links)
- Scale mixture of skew-normal linear mixed models with within-subject serial dependence (Q6334071) (← links)
- Probabilistic State Estimation in Water Networks (Q6334077) (← links)
- Convergence analysis of particle swarm optimization using stochastic Lyapunov functions and quantifier elimination (Q6334162) (← links)
- Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors (Q6334166) (← links)
- Fast Probabilistic Hosting Capacity Analysis for Active Distribution Systems (Q6334199) (← links)
- Deriving canonical differential equations for Feynman integrals from a single uniform weight integral (Q6334250) (← links)
- Boundary solution based on rescaling method: recoup the first and second-order statistics of neuron network dynamics (Q6334257) (← links)
- ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions (Q6334268) (← links)
- Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability (Q6334274) (← links)
- Low Rank Saddle Free Newton: A Scalable Method for Stochastic Nonconvex Optimization (Q6334335) (← links)
- Oblivious Data for Fairness with Kernels (Q6334340) (← links)
- A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization (Q6334354) (← links)
- FiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Dependent Partial Differential Equations (Q6334357) (← links)
- Incorporating Symmetry into Deep Dynamics Models for Improved Generalization (Q6334368) (← links)
- Data-driven nonlinear aeroelastic models of morphing wings for control (Q6334380) (← links)
- DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection (Q6334390) (← links)
- Learning CHARME models with neural networks (Q6334391) (← links)
- Chabauty-Coleman computations on rank 1 Picard curves (Q6334401) (← links)
- On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm (Q6334402) (← links)
- Introducing a differentiable measure of pointwise shared information (Q6334412) (← links)
- On the distance between two neural networks and the stability of learning (Q6334429) (← links)
- Semialgebraic Optimization for Lipschitz Constants of ReLU Networks (Q6334469) (← links)
- Introducing Graph Cumulants: What is the Variance of Your Social Network? (Q6334515) (← links)
- A computable realization of Ruelle's formula for linear response of statistics in chaotic systems (Q6334535) (← links)
- Self-Concordant Analysis of Frank-Wolfe Algorithms (Q6334566) (← links)
- Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss (Q6334602) (← links)
- Universal Average-Case Optimality of Polyak Momentum (Q6334616) (← links)
- Efficient computation of BSD invariants in genus 2 (Q6334617) (← links)
- Discretization of the Koch Snowflake Domain with Boundary and Interior Energies (Q6334621) (← links)
- Topologically Densified Distributions (Q6334639) (← links)
- Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces (Q6334664) (← links)
- Efficient Structure-preserving Support Tensor Train Machine (Q6334680) (← links)
- On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning (Q6334694) (← links)
- Efficient Policy Learning from Surrogate-Loss Classification Reductions (Q6334699) (← links)
- Decreasing market value of variable renewables can be avoided by policy action (Q6334703) (← links)
- Online Optimization with Memory and Competitive Control (Q6334715) (← links)
- A New Heuristic for Physical Design (Q6334759) (← links)
- An Optimal Multistage Stochastic Gradient Method for Minimax Problems (Q6334764) (← links)
- Simultaneous Energy Harvesting and Information Transmission in a MIMO Full-Duplex System: A Machine Learning-Based Design (Q6334832) (← links)
- Handover Probability in Drone Cellular Networks (Q6334882) (← links)
- Product Subset Problem : Applications to number theory and cryptography (Q6334982) (← links)
- Statistically Efficient, Polynomial Time Algorithms for Combinatorial Semi Bandits (Q6335008) (← links)
