The following pages link to author name string (P43):
Displaying 50 items.
- k-simplex2vec: a simplicial extension of node2vec (Q6351066) (← 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)
- 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)
- 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)
- Fourier Neural Operator for Parametric Partial Differential Equations (Q6351561) (← 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)
- 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)
- Efficient Robust Optimal Transport with Application to Multi-Label Classification (Q6351999) (← links)
- Contrastive Self-Supervised Learning for Wireless Power Control (Q6352010) (← links)
- Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing (Q6352020) (← links)
- Fast and Smooth Interpolation on Wasserstein Space (Q6352034) (← links)
- An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization (Q6352041) (← links)
- Throughput-Optimal Topology Design for Cross-Silo Federated Learning (Q6352057) (← links)
- Coping with Label Shift via Distributionally Robust Optimisation (Q6352058) (← links)
- Linearly Converging Error Compensated SGD (Q6352068) (← links)
- Fusion of Dual Spatial Information for Hyperspectral Image Classification (Q6352077) (← links)
- Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning (Q6352095) (← links)
- Robust Correction of Sampling Bias Using Cumulative Distribution Functions (Q6352121) (← links)
- Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine (Q6352140) (← links)
- Modeling and Optimization Trade-off in Meta-learning (Q6352149) (← links)
- A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks (Q6352187) (← links)
- Convergence Acceleration via Chebyshev Step: Plausible Interpretation of Deep-Unfolded Gradient Descent (Q6352225) (← links)
- Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints (Q6352255) (← links)
- A Sparse Beta Regression Model for Network Analysis (Q6352260) (← links)
- LEAD: Min-Max Optimization from a Physical Perspective (Q6352287) (← links)
