The following pages link to author name string (P43):
Displaying 50 items.
- Optimal and Adaptive Monteiro-Svaiter Acceleration (Q6400613) (← links)
- Lithium-Ion Battery Charging Schedule Optimization to Balance Battery Usage and Degradation (Q6400618) (← links)
- Posterior and Computational Uncertainty in Gaussian Processes (Q6400619) (← links)
- Variational inference via Wasserstein gradient flows (Q6400705) (← links)
- Universal Early Warning Signals of Phase Transitions in Climate Systems (Q6400728) (← links)
- Principle of Relevant Information for Graph Sparsification (Q6400737) (← links)
- Star algorithm for NN ensembling (Q6400762) (← links)
- Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top (Q6400818) (← links)
- Topological Deep Learning: Going Beyond Graph Data (Q6400834) (← links)
- Computing the Variance of Shuffling Stochastic Gradient Algorithms via Power Spectral Density Analysis (Q6400841) (← links)
- A Scalable Shannon Entropy Estimator (Q6400894) (← links)
- Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise (Q6400934) (← links)
- Equivariant Reinforcement Learning for Quadrotor UAV (Q6400965) (← links)
- Rashomon Capacity: A Metric for Predictive Multiplicity in Classification (Q6400982) (← links)
- Robust Topological Inference in the Presence of Outliers (Q6401079) (← links)
- Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees (Q6401102) (← links)
- Surprising Instabilities in Training Deep Networks and a Theoretical Analysis (Q6401127) (← links)
- Hidden Degrees of Freedom in Implicit Vortex Filaments (Q6401129) (← links)
- Is $L^2$ Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network? (Q6401133) (← links)
- Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks (Q6401163) (← links)
- A Survey on Deep Learning based Channel Estimation in Doubly Dispersive Environments (Q6401169) (← links)
- An information upper bound for probability sensitivity (Q6401199) (← links)
- Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling (Q6401200) (← links)
- Minimising the Expected Posterior Entropy Yields Optimal Summary Statistics (Q6401209) (← links)
- Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning (Q6401253) (← links)
- Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees (Q6401266) (← links)
- Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches (Q6401269) (← links)
- Beyond spectral gap: The role of the topology in decentralized learning (Q6401331) (← links)
- How does overparametrization affect performance on minority groups? (Q6401387) (← links)
- Sampling-based techniques for designing school boundaries (Q6401428) (← links)
- Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection (Q6401480) (← links)
- Mathematical model bridges disparate timescales of lifelong learning (Q6401484) (← links)
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning (Q6401490) (← links)
- Robust Semantic Communications with Masked VQ-VAE Enabled Codebook (Q6401496) (← links)
- On Margins and Generalisation for Voting Classifiers (Q6401600) (← links)
- Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination (Q6401621) (← links)
- Persistent Homology for Resource Coverage: A Case Study of Access to Polling Sites (Q6401638) (← links)
- Artificial Intelligence Enabled NOMA Towards Next Generation Multiple Access (Q6401670) (← links)
- Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery (Q6401682) (← links)
- GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions (Q6401711) (← links)
- Log-concave density estimation in undirected graphical models (Q6401719) (← links)
- Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning (Q6401740) (← links)
- Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering (Q6401776) (← links)
- The Rough Topology for Numerical Data (Q6401840) (← links)
- Identifying and estimating effects of sustained interventions under parallel trends assumptions (Q6401842) (← links)
- Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems (Q6401879) (← links)
- Flexible Differentiable Optimization via Model Transformations (Q6401907) (← links)
- FibeRed: Fiberwise Dimensionality Reduction of Topologically Complex Data with Vector Bundles (Q6401979) (← links)
- A Stochastic Proximal Method for Nonsmooth Regularized Finite Sum Optimization (Q6401982) (← links)
- Zeroth-Order Topological Insights into Iterative Magnitude Pruning (Q6401992) (← links)
