The following pages link to has companion code repository (P1687):
Displaying 50 items.
- 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)
- Approximation of Images via Generalized Higher Order Singular Value Decomposition over Finite-dimensional Commutative Semisimple Algebra (Q6389844) (← links)
- On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation (Q6389902) (← links)
- KSD Aggregated Goodness-of-fit Test (Q6389905) (← links)
- Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters (Q6389923) (← links)
- What Has Been Enhanced in my Knowledge-Enhanced Language Model? (Q6389927) (← links)
- Mean-Field Langevin Dynamics: Exponential Convergence and Annealing (Q6389936) (← links)
- Giga-scale Kernel Matrix Vector Multiplication on GPU (Q6389953) (← links)
- A Nonlinear Hierarchical Model for Longitudinal Data on Manifolds (Q6389970) (← 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)
- How to find all connections in the Pantelides algorithm for delay differential-algebraic equations (Q6390069) (← 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)
- Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting (Q6390189) (← links)
- OMLT: Optimization & Machine Learning Toolkit (Q6390190) (← links)
- On Neural Differential Equations (Q6390195) (← links)
- One-Nearest-Neighbor Search is All You Need for Minimax Optimal Regression and Classification (Q6390199) (← links)
- Solution of a Practical Vehicle Routing Problem for Monitoring Water Distribution Networks (Q6390219) (← links)
- Lower-bounds on the Bayesian Risk in Estimation Procedures via $f$-Divergences (Q6390223) (← links)
- PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading (Q6390249) (← links)
- On the Multi-View Information Bottleneck Representation (Q6390253) (← links)
- Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems (Q6390259) (← links)
- Riemannian Score-Based Generative Modelling (Q6390273) (← links)
- Lossy Gradient Compression: How Much Accuracy Can One Bit Buy? (Q6390287) (← links)
- Neural Tangent Kernel Analysis of Deep Narrow Neural Networks (Q6390336) (← links)
- FL_PyTorch: optimization research simulator for federated learning (Q6390357) (← links)
- HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time series (Q6390376) (← links)
- Analog Secure Distributed Matrix Multiplication over Complex Numbers (Q6390398) (← links)
- Message Passing Neural PDE Solvers (Q6390403) (← links)
- Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start (Q6390408) (← links)
- Nesterov Accelerated Shuffling Gradient Method for Convex Optimization (Q6390436) (← links)
- A covariant, discrete time-frequency representation tailored for zero-based signal detection (Q6390484) (← links)
- Optimal vaccination at high reproductive numbers: sharp transitions and counter-intuitive allocations (Q6390495) (← links)
- Instantaneous and limiting behavior of an n-node blockchain under cyber attacks from a single hacker (Q6390551) (← links)
- Robust preconditioning for a mixed formulation of phase-field fracture problems (Q6390556) (← links)
- Deep Neural Networks to Correct Sub-Precision Errors in CFD (Q6390562) (← links)
- Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs (Q6390629) (← links)