The following pages link to extracted from (P1689):
Displaying 50 items.
- A Unified Optimization Framework for Low-Rank Inducing Penalties (Q6333359) (← links)
- Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees (Q6333372) (← links)
- Robust flight schedules with stochastic programming (Q6333378) (← links)
- Finer Metagenomic Reconstruction via Biodiversity Optimization (Q6333396) (← links)
- Approximating Surfaces in $R^3$ by Meshes with Guaranteed Regularity (Q6333443) (← links)
- A tutorial on the range variant of asymmetric numeral systems (Q6333458) (← links)
- Traffic Equations for Fluid Networks with Overflows (Q6333528) (← links)
- Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning (Q6333542) (← links)
- A fast algorithm for time-dependent radiative transport equation based on integral formulation (Q6333593) (← links)
- Margin Maximization as Lossless Maximal Compression (Q6333634) (← links)
- A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control (Q6333644) (← links)
- Automatic weak imposition of free slip boundary conditions via Nitsche's method: application to nonlinear problems in geodynamics (Q6333678) (← links)
- 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)
