The following pages link to has companion code repository (P1687):
Displaying 50 items.
- Gromov-Wasserstein Averaging in a Riemannian Framework (Q6326906) (← links)
- PAC-Bayesian Contrastive Unsupervised Representation Learning (Q6326927) (← links)
- Stochastic DC Optimal Power Flow With Reserve Saturation (Q6326945) (← links)
- Online control of the familywise error rate (Q6326973) (← links)
- Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation (Q6326977) (← links)
- Demon: Improved Neural Network Training with Momentum Decay (Q6326983) (← links)
- Optimal Approximation of Doubly Stochastic Matrices (Q6327032) (← links)
- Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space (Q6327127) (← links)
- Understanding the Limitations of Variational Mutual Information Estimators (Q6327164) (← links)
- SCAFFOLD: Stochastic Controlled Averaging for Federated Learning (Q6327187) (← links)
- BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization (Q6327190) (← links)
- When Nash Meets Stackelberg (Q6327200) (← links)
- Optimal Codes Correcting a Single Indel / Edit for DNA-Based Data Storage (Q6327208) (← links)
- ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization (Q6327210) (← links)
- A greedy anytime algorithm for sparse PCA (Q6327255) (← links)
- Adversarial Numerical Analysis for Inverse Problems (Q6327269) (← links)
- Deep Learning for Massive MIMO with 1-Bit ADCs: When More Antennas Need Fewer Pilots (Q6327274) (← links)
- Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization (Q6327375) (← links)
- Robust Planning and Control For Polygonal Environments via Linear Programming (Q6327396) (← links)
- Anderson Acceleration of Proximal Gradient Methods (Q6327475) (← links)
- Fitting a Kalman Smoother to Data (Q6327477) (← links)
- Infinite-Horizon Optimal Control of Switched Boolean Control Networks with Average Cost: An Efficient Graph-Theoretical Approach (Q6327494) (← links)
- Dynamic Subgoal-based Exploration via Bayesian Optimization (Q6327557) (← links)
- Sampling random graph homomorphisms and applications to network data analysis (Q6327610) (← links)
- Adaptive Gradient Descent without Descent (Q6327620) (← links)
- Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels (Q6327678) (← links)
- Proximal Adam: Robust Adaptive Update Scheme for Constrained Optimization (Q6327693) (← links)
- Inference with selection, varying population size and evolving population structure: Application of ABC to a forward-backward coalescent process with interactions (Q6327706) (← links)
- Cluster Algebras and the HOMFLY Polynomial (Q6327711) (← links)
- Multiple outlier detection tests for parametric models (Q6327741) (← links)
- Nested conformal prediction and quantile out-of-bag ensemble methods (Q6327752) (← links)
- Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation (Q6327756) (← links)
- Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks (Q6327767) (← links)
- Dynamic multi-agent assignment via discrete optimal transport (Q6327772) (← links)
- A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization (Q6327779) (← links)
- Voronoi complexes in higher dimensions, cohomology of $GL_N(Z)$ for $N\geq 8$ and the triviality of $K_8(Z)$ (Q6327878) (← links)
- Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning (Q6327936) (← links)
- Differentiable Convex Optimization Layers (Q6327983) (← links)
- Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes (Q6327991) (← links)
- Testing Forecast Rationality for Measures of Central Tendency (Q6327999) (← links)
- A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression (Q6328026) (← links)
- Sinkhorn Divergences for Unbalanced Optimal Transport (Q6328051) (← links)
- Poincar\'e Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games (Q6328059) (← links)
- Efficiently avoiding saddle points with zero order methods: No gradients required (Q6328061) (← links)
- Bayesian Optimization with Unknown Search Space (Q6328071) (← links)
- Understanding the Role of Momentum in Stochastic Gradient Methods (Q6328197) (← links)
- Superset Technique for Approximate Recovery in One-Bit Compressed Sensing (Q6328198) (← links)
- Multi-resolution CSI Feedback with deep learning in Massive MIMO System (Q6328246) (← links)
- Statistical Estimation of the Poincar{\'e} constant and Application to Sampling Multimodal Distributions (Q6328288) (← links)
- Immersed curves in Khovanov homology (Q6328292) (← links)
