The following pages link to extracted from (P1689):
Displaying 50 items.
- The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization (Q6399622) (← links)
- Metrics of calibration for probabilistic predictions (Q6399629) (← links)
- Learning Interface Conditions in Domain Decomposition Solvers (Q6399652) (← links)
- A Subspace Method for Time Series Anomaly Detection in Cyber-Physical Systems (Q6399676) (← links)
- Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions (Q6399698) (← links)
- Restriction theorems and Strichartz inequalities for the Laguerre operator involving orthonormal functions (Q6399741) (← links)
- Latent-space disentanglement with untrained generator networks for the isolation of different motion types in video data (Q6399743) (← links)
- Adaptive Bayesian Inference of Markov Transition Rates (Q6399744) (← links)
- Approximate Message Passing with Parameter Estimation for Heavily Quantized Measurements (Q6399753) (← links)
- Orbits in Lattices (Q6399773) (← links)
- Interpreting Neural Min-Sum Decoders (Q6399791) (← links)
- Policy-based Primal-Dual Methods for Convex Constrained Markov Decision Processes (Q6399799) (← links)
- A Deep Conjugate Direction Method for Iteratively Solving Linear Systems (Q6399808) (← links)
- Deep Learning-Based Synchronization for Uplink NB-IoT (Q6399822) (← links)
- Fundamentals of Wobbling and Hardware Impairments-Aware Air-to-Ground Channel Model (Q6399859) (← links)
- Learning to branch with Tree MDPs (Q6399891) (← links)
- Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent (Q6399933) (← links)
- Quadratic models for understanding neural network dynamics (Q6399996) (← links)
- Model-Based and Graph-Based Priors for Group Testing (Q6400004) (← links)
- Neur2SP: Neural Two-Stage Stochastic Programming (Q6400043) (← links)
- PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization (Q6400045) (← links)
- An Extension of Hejhal's Algorithm to Infinite Volume Fundamental Domains (Q6400058) (← links)
- Gacs-Korner Common Information Variational Autoencoder (Q6400077) (← links)
- Detecting Abrupt Changes in Sequential Pairwise Comparison Data (Q6400102) (← links)
- Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation (Q6400107) (← links)
- Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization (Q6400148) (← links)
- Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes (Q6400162) (← links)
- Two-Torsion Subgroups of some Modular Jacobians (Q6400189) (← links)
- A filtered generalization of the Chekanov-Eliashberg algebra (Q6400193) (← links)
- Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification (Q6400205) (← links)
- Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization (Q6400207) (← links)
- Gaussian Universality of Perceptrons with Random Labels (Q6400245) (← links)
- Single-pass Nystr\"{o}m approximation in mixed precision (Q6400255) (← links)
- Differentially Private Formation Control: Privacy and Network Co-Design (Q6400263) (← links)
- Mutual Information Divergence: A Unified Metric for Multimodal Generative Models (Q6400271) (← links)
- CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization (Q6400276) (← links)
- Wasserstein Logistic Regression with Mixed Features (Q6400280) (← links)
- Multi-layer State Evolution Under Random Convolutional Design (Q6400281) (← links)
- Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap (Q6400286) (← links)
- Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations (Q6400290) (← links)
- Predicting Molecule Size Distribution in Hydrocarbon Pyrolysis using Random Graph Theory (Q6400307) (← links)
- Learning with Stochastic Orders (Q6400311) (← links)
- Auditing Differential Privacy in High Dimensions with the Kernel Quantum R\'enyi Divergence (Q6400351) (← links)
- Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces (Q6400369) (← links)
- Capturing Graphs with Hypo-Elliptic Diffusions (Q6400380) (← links)
- Solving infinite-horizon POMDPs with memoryless stochastic policies in state-action space (Q6400382) (← links)
- Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport (Q6400386) (← links)
- MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers (Q6400393) (← links)
- Competitive Gradient Optimization (Q6400397) (← links)
- The shape of surfaces that contain a great and a small circle through each point (Q6400431) (← links)
