The following pages link to extracted from (P1689):
Displaying 50 items.
- AEGD: Adaptive Gradient Descent with Energy (Q6350986) (← links)
- What causes the test error? Going beyond bias-variance via ANOVA (Q6350993) (← links)
- Distributionally Robust Parametric Maximum Likelihood Estimation (Q6351024) (← links)
- Towards Expressive Graph Representation (Q6351040) (← links)
- Near-field Localization with a Reconfigurable Intelligent Surface Acting as Lens (Q6351063) (← links)
- k-simplex2vec: a simplicial extension of node2vec (Q6351066) (← links)
- Permutation invariant networks to learn Wasserstein metrics (Q6351095) (← links)
- Large-Scale Methods for Distributionally Robust Optimization (Q6351108) (← links)
- SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory (Q6351109) (← links)
- Modelling and predicting the effect of social distancing and travel restrictions on COVID-19 spreading (Q6351115) (← links)
- Efficient high-order accurate Fresnel diffraction via areal quadrature and the nonuniform FFT (Q6351117) (← links)
- Digitalization of exceptional simple Lie algebras into matrices over complex numbers (Q6351227) (← links)
- Rigidity results on gradient Schouten solitons (Q6351230) (← links)
- Flexible mean field variational inference using mixtures of non-overlapping exponential families (Q6351236) (← links)
- Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction (Q6351243) (← links)
- Full-stack Hybrid Beamforming in mmWave 5G Networks (Q6351251) (← links)
- Deep Neural Network Training with Frank-Wolfe (Q6351313) (← links)
- Minimum stationary values of sparse random directed graphs (Q6351314) (← links)
- Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation (Q6351351) (← links)
- An Open-Source Dataset on Dietary Behaviors and DASH Eating Plan Optimization Constraints (Q6351367) (← links)
- A simulation framework for particle magnetization dynamics of large ensembles of single domain particles: Numerical treatment of Brown/N\'{e}el dynamics and parameter identification problems in magnetic particle imaging (Q6351404) (← links)
- Window Processing of Binary Polarization Kernels (Q6351418) (← links)
- Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions (Q6351422) (← links)
- Semi-supervised NMF Models for Topic Modeling in Learning Tasks (Q6351426) (← links)
- Bilevel Optimization: Convergence Analysis and Enhanced Design (Q6351428) (← links)
- Consistent Feature Selection for Analytic Deep Neural Networks (Q6351455) (← links)
- The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers (Q6351457) (← links)
- Quantile regression with deep ReLU Networks: Estimators and minimax rates (Q6351469) (← links)
- Optimizing persistent homology based functions (Q6351484) (← links)
- A Sampling-Based Method for Tensor Ring Decomposition (Q6351510) (← links)
- Approximate information state for approximate planning and reinforcement learning in partially observed systems (Q6351552) (← links)
- Fourier Neural Operator for Parametric Partial Differential Equations (Q6351561) (← links)
- Green functions of Energized complexes (Q6351615) (← links)
- The Capacity Constraint Physarum Solver (Q6351646) (← links)
- Estimating means of bounded random variables by betting (Q6351691) (← links)
- Probabilistic Linear Solvers for Machine Learning (Q6351692) (← links)
- The Polylogarithm Function in Julia (Q6351711) (← links)
- Metric geometry on manifolds: two lectures (Q6351745) (← links)
- Evaluating modular equations for abelian surfaces (Q6351751) (← links)
- VarGrad: A Low-Variance Gradient Estimator for Variational Inference (Q6351797) (← links)
- A practical algorithm to calculate Cap Discrepancy (Q6351799) (← links)
- On Application of Block Kaczmarz Methods in Matrix Factorization (Q6351832) (← links)
- Variational Multiscale Nonparametric Regression: Algorithms and Implementation (Q6351839) (← links)
- High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds (Q6351872) (← links)
- An Efficient Real-Time NMPC for Quadrotor Position Control under Communication Time-Delay (Q6351922) (← links)
- Decentralized optimization over noisy, rate-constrained networks: Achieving consensus by communicating differences (Q6351929) (← links)
- MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics (Q6351962) (← links)
- Geometry-Aware Hamiltonian Variational Auto-Encoder (Q6351965) (← links)
- Efficient Robust Optimal Transport with Application to Multi-Label Classification (Q6351999) (← links)
- Contrastive Self-Supervised Learning for Wireless Power Control (Q6352010) (← links)
