The following pages link to has companion code repository (P1687):
Displaying 50 items.
- Derivative-free global minimization for a class of multiple minima problems (Q6342919) (← links)
- Deep-CAPTCHA: a deep learning based CAPTCHA solver for vulnerability assessment (Q6342938) (← links)
- Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization (Q6342952) (← links)
- Physics informed deep learning for computational elastodynamics without labeled data (Q6342960) (← links)
- A generic adaptive restart scheme with applications to saddle point algorithms (Q6342963) (← links)
- Convex optimization based on global lower second-order models (Q6342966) (← links)
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks (Q6342972) (← links)
- Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (Q6342974) (← links)
- Total Deep Variation: A Stable Regularizer for Inverse Problems (Q6342999) (← links)
- Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization (Q6343002) (← links)
- Practical Quasi-Newton Methods for Training Deep Neural Networks (Q6343003) (← links)
- Federated Accelerated Stochastic Gradient Descent (Q6343011) (← links)
- Robust Compressed Sensing using Generative Models (Q6343071) (← links)
- Partial Policy Iteration for L1-Robust Markov Decision Processes (Q6343075) (← links)
- Towards improving discriminative reconstruction via simultaneous dense and sparse coding (Q6343081) (← links)
- Multipole Graph Neural Operator for Parametric Partial Differential Equations (Q6343082) (← links)
- Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments (Q6343106) (← links)
- Occam's Ghost (Q6343122) (← links)
- Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets (Q6343131) (← links)
- Robust Persistence Diagrams using Reproducing Kernels (Q6343143) (← links)
- Competitive Mirror Descent (Q6343161) (← links)
- Revisiting minimum description length complexity in overparameterized models (Q6343162) (← links)
- Neural Manifold Ordinary Differential Equations (Q6343178) (← links)
- Distribution-free binary classification: prediction sets, confidence intervals and calibration (Q6343213) (← links)
- Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks (Q6343216) (← links)
- AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity (Q6343235) (← links)
- An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization (Q6343255) (← links)
- The Normal-Generalised Gamma-Pareto process: A novel pure-jump L\'evy process with flexible tail and jump-activity properties (Q6343262) (← links)
- Mixture of Conditional Gaussian Graphical Models for unlabelled heterogeneous populations in the presence of co-factors (Q6343272) (← links)
- Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates (Q6343287) (← links)
- A polynomial-time algorithm for learning nonparametric causal graphs (Q6343409) (← links)
- Lipschitz Recurrent Neural Networks (Q6343423) (← links)
- Differentially Private Convex Optimization with Feasibility Guarantees (Q6343451) (← links)
- A Convergent and Dimension-Independent Min-Max Optimization Algorithm (Q6343459) (← links)
- Information Theoretic Regret Bounds for Online Nonlinear Control (Q6343475) (← links)
- Optimal Network Slicing for Service-Oriented Networks with Flexible Routing and Guaranteed E2E Latency (Q6343551) (← links)
- JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for A Fully-Digital MIMO Joint Communication-Radar (Q6343592) (← links)
- Standardized Non-Intrusive Reduced Order Modeling Using Different Regression Models With Application to Complex Flow Problems (Q6343636) (← links)
- A reinforcement learning method with closed-loop stability guarantee (Q6343677) (← links)
- Robust and Efficient Approximate Bayesian Computation: A Minimum Distance Approach (Q6343696) (← links)
- Model-free bounds for multi-asset options using option-implied information and their exact computation (Q6343716) (← links)
- A Canonical Transform for Strengthening the Local $L^p$-Type Universal Approximation Property (Q6343731) (← links)
- Dual-Free Stochastic Decentralized Optimization with Variance Reduction (Q6343733) (← links)
- The Quenching-Activation Behavior of the Gradient Descent Dynamics for Two-layer Neural Network Models (Q6343743) (← links)
- Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams that Adapt to Deployment and Hardware (Q6343750) (← links)
- Anderson Acceleration for Nonconvex ADMM Based on Douglas-Rachford Splitting (Q6343753) (← links)
- Learning compositional functions via multiplicative weight updates (Q6343757) (← links)
- Newton-type Methods for Minimax Optimization (Q6343762) (← links)
- What they do when in doubt: a study of inductive biases in seq2seq learners (Q6343814) (← links)
- Hybrid Models for Learning to Branch (Q6343852) (← links)
