The following pages link to author name string (P43):
Displaying 50 items.
- Data-Driven Stabilization of Periodic Orbits (Q6352291) (← links)
- Interior Point Solving for LP-based prediction+optimisation (Q6352297) (← links)
- Dynamic Algorithms for Online Multiple Testing (Q6352300) (← links)
- Physics-Based Deep Learning for Fiber-Optic Communication Systems (Q6352349) (← links)
- On Model Identification and Out-of-Sample Prediction of Principal Component Regression: Applications to Synthetic Controls (Q6352373) (← links)
- Correlation Robust Influence Maximization (Q6352396) (← links)
- Deep Learning for Individual Heterogeneity: An Automatic Inference Framework (Q6352413) (← links)
- Deep Networks from the Principle of Rate Reduction (Q6352427) (← links)
- Parallelizing multiple precision Taylor series method for integrating the Lorenz system (Q6352468) (← links)
- Real-valued Evolutionary Multi-modal Multi-objective Optimization by Hill-Valley Clustering (Q6352469) (← links)
- Channel Estimation and Equalization for CP-OFDM-based OTFS in Fractional Doppler Channels (Q6352521) (← links)
- Post-selection inference with HSIC-Lasso (Q6352561) (← links)
- Quantum advantage for differential equation analysis (Q6352584) (← links)
- $\sigma$-Ridge: group regularized ridge regression via empirical Bayes noise level cross-validation (Q6352590) (← links)
- Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough (Q6352609) (← links)
- Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions (Q6352614) (← links)
- Robust Localization in Wireless Networks From Corrupted Signals (Q6352655) (← links)
- c-lasso -- a Python package for constrained sparse and robust regression and classification (Q6352804) (← links)
- Representations of Energy Landscapes by Sublevelset Persistent Homology: An Example With n-Alkanes (Q6352812) (← links)
- Distributed Machine Learning for Computational Engineering using MPI (Q6352860) (← links)
- AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient (Q6352953) (← links)
- Federated Knowledge Distillation (Q6352998) (← links)
- SISO RIS-Enabled Joint 3D Downlink Localization and Synchronization (Q6353003) (← links)
- Binary Neural Network Aided CSI Feedback in Massive MIMO System (Q6353042) (← links)
- Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization (Q6353108) (← links)
- Neural Stochastic Contraction Metrics for Learning-based Control and Estimation (Q6353113) (← links)
- Efficient quantum algorithm for dissipative nonlinear differential equations (Q6353117) (← links)
- Optimal Resource and Demand Redistribution for Healthcare Systems Under Stress from COVID-19 (Q6353170) (← links)
- GPU Accelerated Convex Approximations for Fast Multi-Agent Trajectory Optimization (Q6353285) (← links)
- Solving Inverse Problems With Deep Neural Networks -- Robustness Included? (Q6353287) (← links)
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (Q6353342) (← links)
- Estimating Total Correlation with Mutual Information Estimators (Q6353370) (← links)
- Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment (Q6353375) (← links)
- Towards a Better Global Loss Landscape of GANs (Q6353402) (← links)
- Correlated Age-of-Information Bandits (Q6353417) (← links)
- A Distributionally Robust Optimization Approach for Unit Commitment in Microgrids (Q6353453) (← links)
- Learning ODE Models with Qualitative Structure Using Gaussian Processes (Q6353459) (← links)
- Influencing dynamics on social networks without knowledge of network microstructure (Q6353519) (← links)
- Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers (Q6353556) (← links)
- Recoverable Robust Single Machine Scheduling with Polyhedral Uncertainty (Q6353582) (← links)
- tvopt: A Python Framework for Time-Varying Optimization (Q6353710) (← links)
- FedRec: Federated Learning of Universal Receivers over Fading Channels (Q6353730) (← links)
- Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee (Q6353756) (← links)
- Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment (Q6353820) (← links)
- Combating the Instability of Mutual Information-based Losses via Regularization (Q6353838) (← links)
- DLBFoam: An open-source dynamic load balancing model for fast reacting flow simulations in OpenFOAM (Q6353844) (← links)
- Mixing ADAM and SGD: a Combined Optimization Method (Q6353849) (← links)
- Enforcing robust control guarantees within neural network policies (Q6353860) (← links)
- Federated Composite Optimization (Q6353923) (← links)
- Gradient Starvation: A Learning Proclivity in Neural Networks (Q6354054) (← links)