The following pages link to author name string (P43):
Displaying 50 items.
- An information-theoretic, all-scales approach to comparing networks (Q6300187) (← links)
- Radii of convexity of integral operators (Q6300205) (← links)
- The Channel Capacity of Channelrhodopsin and Other Intensity-Driven Signal Transduction Receptors (Q6300272) (← links)
- Impulsive Noise Robust Sparse Recovery via Continuous Mixed Norm (Q6300282) (← links)
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems (Q6300355) (← links)
- Cross-Domain Adversarial Auto-Encoder (Q6300442) (← links)
- Data-based Distributionally Robust Stochastic Optimal Power Flow, Part II: Case studies (Q6300475) (← links)
- Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies (Q6300477) (← links)
- Two-Player Games for Efficient Non-Convex Constrained Optimization (Q6300492) (← links)
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations (Q6300543) (← links)
- Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning (Q6300600) (← links)
- Rician $K$-Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks (Q6300640) (← links)
- Efficient Nonlinear Precoding for Massive MU-MIMO Downlink Systems with 1-Bit DACs (Q6300720) (← links)
- Tie-decay networks in continuous time and eigenvector-based centralities (Q6301013) (← links)
- Acceleration of RED via Vector Extrapolation (Q6301224) (← links)
- Implementation of Stochastic Quasi-Newton's Method in PyTorch (Q6301248) (← links)
- Distributed Path Selection Strategies for Integrated Access and Backhaul at mmWaves (Q6301464) (← links)
- KL-UCB-switch: optimal regret bounds for stochastic bandits from both a distribution-dependent and a distribution-free viewpoints (Q6301530) (← links)
- Local Saddle Point Optimization: A Curvature Exploitation Approach (Q6301591) (← links)
- A Note on QR-Based Model Reduction: Algorithm, Software, and Gravitational Wave Applications (Q6301631) (← links)
- Construction of quasi-potentials for stochastic dynamical systems: an optimization approach (Q6301784) (← links)
- Blended Conditional Gradients: the unconditioning of conditional gradients (Q6301789) (← links)
- Computing Kantorovich-Wasserstein Distances on $d$-dimensional histograms using $(d+1)$-partite graphs (Q6301803) (← links)
- Sequential adaptive elastic net approach for single-snapshot source localization (Q6301819) (← links)
- Deep Generative Markov State Models (Q6301822) (← links)
- Massive MIMO with Spatially Correlated Rician Fading Channels (Q6301881) (← links)
- Bandit-Based Monte Carlo Optimization for Nearest Neighbors (Q6301915) (← links)
- Step Size Matters in Deep Learning (Q6301963) (← links)
- Local SGD Converges Fast and Communicates Little (Q6302069) (← links)
- LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning (Q6302088) (← links)
- Testing Against Independence and a R\'enyi Information Measure (Q6302205) (← links)
- Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter (Q6302234) (← links)
- Adversarial Regularizers in Inverse Problems (Q6302268) (← links)
- Fairness and Sum-Rate Maximization via Joint Channel and Power Allocation in Uplink SCMA Networks (Q6302285) (← links)
- Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators (Q6302353) (← links)
- Scaling provable adversarial defenses (Q6302367) (← links)
- Nonlinear Acceleration of CNNs (Q6302417) (← links)
- EigenKernel - A middleware for parallel generalized eigenvalue solvers to attain high scalability and usability (Q6302459) (← links)
- Asymptotic optimality of adaptive importance sampling (Q6302495) (← links)
- Optimal Balancing of Time-Dependent Confounders for Marginal Structural Models (Q6302515) (← links)
- Learning a Code: Machine Learning for Approximate Non-Linear Coded Computation (Q6302535) (← links)
- MOSES: A Streaming Algorithm for Linear Dimensionality Reduction (Q6302538) (← links)
- Orthogonal Random Forest for Causal Inference (Q6302803) (← links)
- Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Toward Its Use as a Signal Feature for Machine Learning in Clinical Applications (Q6302850) (← links)
- PAC-Bayes Control: Learning Policies that Provably Generalize to Novel Environments (Q6302882) (← links)
- Non-asymptotic Identification of LTI Systems from a Single Trajectory (Q6303035) (← links)
- Impact of Channel Models on the End-to-End Performance of mmWave Cellular Networks (Q6303083) (← links)
- Compressed Sensing with Deep Image Prior and Learned Regularization (Q6303126) (← links)
- Maximum a Posteriori Policy Optimisation (Q6303189) (← links)
- Kiselyov's geometry (Q6303195) (← links)
