The following pages link to author name string (P43):
Displaying 50 items.
- Simultaneous Signal Subspace Rank and Model Selection with an Application to Single-snapshot Source Localization (Q6303234) (← links)
- Validation of Inventory models for Single-echelon Supply Chain using Discrete-event Simulation (Q6303242) (← links)
- On category $\mathcal{O}$ for affine Grassmannian slices and categorified tensor products (Q6303259) (← links)
- RUDDER: Return Decomposition for Delayed Rewards (Q6303288) (← links)
- Bayesian Optimization of Combinatorial Structures (Q6303397) (← links)
- A Tour of Reinforcement Learning: The View from Continuous Control (Q6303462) (← links)
- Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution (Q6303492) (← links)
- Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling (Q6303545) (← links)
- A scalable H-matrix approach for the solution of boundary integral equations on multi-GPU clusters (Q6303698) (← links)
- Sampling and Reconstruction of Signals on Product Graphs (Q6303715) (← links)
- LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration (Q6303773) (← links)
- Deepcode: Feedback Codes via Deep Learning (Q6303776) (← links)
- Training behavior of deep neural network in frequency domain (Q6303821) (← links)
- A Tutorial on Bayesian Optimization (Q6303964) (← links)
- Effects of Load-Based Frequency Regulation on Distribution Network Operation (Q6304011) (← links)
- Algebraic Equivalence of Linear Structural Equation Models (Q6304035) (← links)
- A finite element method for the Monge-Amp\`ere equation with transport boundary conditions (Q6304038) (← links)
- Is Q-learning Provably Efficient? (Q6304056) (← links)
- Strong contraction mapping and topological non-convex optimization (Q6304097) (← links)
- Morse Code Datasets for Machine Learning (Q6304105) (← links)
- Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models (Q6304127) (← links)
- Sparse sum-of-squares (SOS) optimization: A bridge between DSOS/SDSOS and SOS optimization for sparse polynomials (Q6304215) (← links)
- Confidence Intervals for Testing Disparate Impact in Fair Learning (Q6304307) (← links)
- Jensen: An Easily-Extensible C++ Toolkit for Production-Level Machine Learning and Convex Optimization (Q6304329) (← links)
- Stochastic Model Predictive Control with Discounted Probabilistic Constraints (Q6304413) (← links)
- Information estimation using nonparametric copulas (Q6304463) (← links)
- Large-Scale-Fading Decoding in Cellular Massive MIMO Systems with Spatially Correlated Channels (Q6304469) (← links)
- A Convex Formulation for Binary Tomography (Q6304595) (← links)
- Bayesian Optimal Design of Experiments For Inferring The Statistical Expectation Of A Black-Box Function (Q6304672) (← links)
- Towards Optimal Power Control via Ensembling Deep Neural Networks (Q6304678) (← links)
- IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks (Q6304726) (← links)
- A multi-contrast MRI approach to thalamus segmentation (Q6304753) (← links)
- Stochastic Gradient Descent with Biased but Consistent Gradient Estimators (Q6304868) (← links)
- Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks (Q6304912) (← links)
- Robust Tracking with Model Mismatch for Fast and Safe Planning: an SOS Optimization Approach (Q6304929) (← links)
- Spatial Deep Learning for Wireless Scheduling (Q6305024) (← links)
- Scalability Analysis of a LoRa Network under Imperfect Orthogonality (Q6305065) (← links)
- Learning to Share and Hide Intentions using Information Regularization (Q6305109) (← links)
- Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning (Q6305128) (← links)
- Blockchained On-Device Federated Learning (Q6305329) (← links)
- Multi-Sector and Multi-Panel Performance in 5G mmWave Cellular Networks (Q6305425) (← links)
- Backtracking gradient descent method for general $C^1$ functions, with applications to Deep Learning (Q6305455) (← links)
- A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning (Q6305482) (← links)
- Faster PET Reconstruction with Non-Smooth Priors by Randomization and Preconditioning (Q6305683) (← links)
- Multivariate Extension of Matrix-based Renyi's \alpha-order Entropy Functional (Q6305764) (← links)
- Continuous time Gaussian process dynamical models in gene regulatory network inference (Q6305791) (← links)
- An Experimental Comparison of SONC and SOS Certificates for Unconstrained Optimization (Q6305813) (← links)
- SPULTRA: Low-Dose CT Image Reconstruction with Joint Statistical and Learned Image Models (Q6305853) (← links)
- Measuring the Volatility of the Political agenda in Public Opinion and News Media (Q6305872) (← links)
- Boosting Binary Optimization via Binary Classification: A Case Study of Job Shop Scheduling (Q6306086) (← links)
