The following pages link to author name string (P43):
Displaying 50 items.
- Transaction Fees on a Honeymoon: Ethereum's EIP-1559 One Month Later (Q6379869) (← links)
- Heavy Ball Neural Ordinary Differential Equations (Q6379889) (← links)
- Mixture representations and Bayesian nonparametric inference for likelihood ratio ordered distributions (Q6379891) (← links)
- Value-Function-based Sequential Minimization for Bi-level Optimization (Q6379915) (← links)
- Momentum Centering and Asynchronous Update for Adaptive Gradient Methods (Q6379995) (← links)
- Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes (Q6380007) (← links)
- Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection (Q6380018) (← links)
- Information Theoretic Structured Generative Modeling (Q6380039) (← links)
- Network-Aware Flexibility Requests for Distribution-Level Flexibility Markets (Q6380069) (← links)
- Efficient Bayesian network structure learning via local Markov boundary search (Q6380092) (← links)
- Multicommodity routing optimization for engineering networks (Q6380108) (← links)
- Regularized Step Directions in Nonlinear Conjugate Gradient Methods (Q6380131) (← links)
- Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions (Q6380193) (← links)
- A Primer on Near-Field Beamforming for Arrays and Reconfigurable Intelligent Surfaces (Q6380200) (← links)
- ADMM-DAD net: a deep unfolding network for analysis compressed sensing (Q6380258) (← links)
- Mixed-integer linear programming approaches for tree partitioning of power networks (Q6380263) (← links)
- On the Convergence Theory for Hessian-Free Bilevel Algorithms (Q6380264) (← links)
- Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution (Q6380302) (← links)
- Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback (Q6380306) (← links)
- On the difficulty of learning chaotic dynamics with RNNs (Q6380308) (← links)
- The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs (Q6380341) (← links)
- Two-Stage Homotopy Method to Incorporate Discrete Control Variables into AC-OPF (Q6380354) (← links)
- Structured Nonnegative Matrix Factorization for Traffic Flow Estimation of Large Cloud Networks (Q6380419) (← links)
- Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings (Q6380446) (← links)
- The Power of Many: A Physarum Swarm Steiner Tree Algorithm (Q6380459) (← links)
- Nonlinear proper orthogonal decomposition for convection-dominated flows (Q6380467) (← links)
- Dynamic Compressed Sensing of Unsteady Flows with a Mobile Robot (Q6380534) (← links)
- Computing Semilinear Sparse Models for Approximately Eventually Periodic Signals (Q6380601) (← links)
- Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization (Q6380616) (← links)
- Wideband and Entropy-Aware Deep Soft Bit Quantization (Q6380689) (← links)
- Interpolating between sampling and variational inference with infinite stochastic mixtures (Q6380705) (← links)
- A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds (Q6380707) (← links)
- System Norm Regularization Methods for Koopman Operator Approximation (Q6380716) (← links)
- Cutting Voxel Projector a New Approach to Construct 3D Cone Beam CT Operator (Q6380745) (← links)
- Quandary: An open-source C++ package for high-performance optimal control of open quantum systems (Q6380812) (← links)
- Pick-and-Mix Information Operators for Probabilistic ODE Solvers (Q6380886) (← links)
- $\ell_{\infty}$-Bounds of the MLE in the BTL Model under General Comparison Graphs (Q6380897) (← links)
- Efficient Gradient Flows in Sliced-Wasserstein Space (Q6380916) (← links)
- On Optimal Interpolation In Linear Regression (Q6380965) (← links)
- Likelihood Training of Schr\"odinger Bridge using Forward-Backward SDEs Theory (Q6380971) (← links)
- Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks (Q6380979) (← links)
- L-2 Regularized maximum likelihood for $\beta$-model in large and sparse networks (Q6381047) (← links)
- Solving N-player dynamic routing games with congestion: a mean field approach (Q6381064) (← links)
- Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff (Q6381065) (← links)
- Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding (Q6381077) (← links)
- BINAS: Bilinear Interpretable Neural Architecture Search (Q6381131) (← links)
- Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport (Q6381174) (← links)
- Deterministic particle flows for constraining SDEs (Q6381219) (← links)
- Neural Flows: Efficient Alternative to Neural ODEs (Q6381221) (← links)
- On the Second-order Convergence Properties of Random Search Methods (Q6381248) (← links)
