The following pages link to author name string (P43):
Displaying 50 items.
- Quasi-Newton acceleration of EM and MM algorithms via Broyden$'$s method (Q6388339) (← links)
- Uniform Inference for Kernel Density Estimators with Dyadic Data (Q6388349) (← links)
- Deep convolutional neural network for shape optimization using level-set approach (Q6388403) (← links)
- Parameterized Convex Universal Approximators for Decision-Making Problems (Q6388427) (← links)
- Power Allocation Algorithms for Massive MIMO Systems with Multi-Antenna Users (Q6388726) (← links)
- Fast Differentiable Matrix Square Root (Q6388827) (← links)
- An Unsupervised Deep Unrolling Framework for Constrained Optimization Problems in Wireless Networks (Q6388880) (← links)
- On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control (Q6389004) (← links)
- Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy (Q6389047) (← links)
- What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization (Q6389160) (← links)
- Optimal estimation of Gaussian DAG models (Q6389176) (← links)
- Stochastic diagonal estimation: probabilistic bounds and an improved algorithm (Q6389202) (← links)
- A fast-solved model for energy-efficient train control based on convex optimization (Q6389212) (← links)
- Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects (Q6389214) (← links)
- Boomerang Spectra of Two Classes of Power Functions via Their Differential Spectra (Q6389245) (← links)
- On Length Sets of Subarithmetic Hyperbolic Manifolds (Q6389253) (← links)
- Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization (Q6389288) (← links)
- Policy Optimization over Submanifolds for Linearly Constrained Feedback Synthesis (Q6389297) (← links)
- Self-Certifying Classification by Linearized Deep Assignment (Q6389302) (← links)
- Calibration with Privacy in Peer Review (Q6389328) (← links)
- Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(\epsilon^{-7/4})$ Complexity (Q6389352) (← links)
- Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule (Q6389440) (← links)
- Stochastic optimization in digital pre-distortion of the signal (Q6389475) (← links)
- Continuous Deep Equilibrium Models: Training Neural ODEs faster by integrating them to Infinity (Q6389495) (← links)
- End-to-End Optimization of Metasurfaces for Imaging with Compressed Sensing (Q6389525) (← links)
- A Topological Centrality Measure for Directed Networks (Q6389646) (← links)
- Riemannian block SPD coupling manifold and its application to optimal transport (Q6389652) (← links)
- Rotting Infinitely Many-armed Bandits (Q6389666) (← links)
- Topology-Preserving Dimensionality Reduction via Interleaving Optimization (Q6389676) (← links)
- Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm (Q6389684) (← links)
- Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization (Q6389722) (← links)
- BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression (Q6389732) (← links)
- The collective vs individual nature of mountaineering: a network and simplicial approach (Q6389738) (← links)
- A framework for bilevel optimization that enables stochastic and global variance reduction algorithms (Q6389748) (← links)
- SnAKe: Bayesian Optimization with Pathwise Exploration (Q6389763) (← links)
- Understanding AdamW through Proximal Methods and Scale-Freeness (Q6389769) (← links)
- Imbedding Deep Neural Networks (Q6389773) (← links)
- Fundamental Limits for Sensor-Based Robot Control (Q6389774) (← links)
- Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold (Q6389785) (← links)
- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks (Q6389797) (← links)
- DoCoM: Compressed Decentralized Optimization with Near-Optimal Sample Complexity (Q6389805) (← links)
- On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation (Q6389902) (← links)
- KSD Aggregated Goodness-of-fit Test (Q6389905) (← links)
- What Has Been Enhanced in my Knowledge-Enhanced Language Model? (Q6389927) (← links)
- Byzantine-Robust Decentralized Learning via ClippedGossip (Q6390026) (← links)
- Graph Coloring with Physics-Inspired Graph Neural Networks (Q6390038) (← links)
- Proportional Fairness in Federated Learning (Q6390047) (← links)
- Maximum Likelihood Estimation of Optimal Receiver Operating Characteristic Curves from Likelihood Ratio Observations (Q6390096) (← links)
- Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net (Q6390137) (← links)
- Graph-Coupled Oscillator Networks (Q6390173) (← links)
