The following pages link to author name string (P43):
Displaying 50 items.
- A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples (Q6369397) (← links)
- Probabilistic forecasting for sizing in the capacity firming framework (Q6369427) (← links)
- Neural Architecture Search via Bregman Iterations (Q6369451) (← links)
- On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework (Q6369504) (← links)
- Principal Bit Analysis: Autoencoding with Schur-Concave Loss (Q6369507) (← links)
- Neural Distributed Source Coding (Q6369508) (← links)
- Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling (Q6369564) (← links)
- Robust Implicit Networks via Non-Euclidean Contractions (Q6369574) (← links)
- Neural Tangent Kernel Maximum Mean Discrepancy (Q6369581) (← links)
- Signatured Deep Fictitious Play for Mean Field Games with Common Noise (Q6369590) (← links)
- Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing Data (Q6369602) (← links)
- End-to-end reconstruction meets data-driven regularization for inverse problems (Q6369628) (← links)
- How Tight Can PAC-Bayes be in the Small Data Regime? (Q6369630) (← links)
- DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning (Q6369673) (← links)
- An Information-theoretic Approach to Distribution Shifts (Q6369676) (← links)
- Neural Monge Map estimation and its applications (Q6369680) (← links)
- Noisy intermediate-scale quantum algorithm for semidefinite programming (Q6369699) (← links)
- Manifold Topology Divergence: a Framework for Comparing Data Manifolds (Q6369715) (← links)
- Dilated Convolution based CSI Feedback Compression for Massive MIMO Systems (Q6369717) (← links)
- Unbalanced Optimal Transport through Non-negative Penalized Linear Regression (Q6369734) (← links)
- Fast Federated Learning in the Presence of Arbitrary Device Unavailability (Q6369735) (← links)
- Efficient solution method based on inverse dynamics for optimal control problems of rigid body systems (Q6369739) (← links)
- Stability and Generalization of Bilevel Programming in Hyperparameter Optimization (Q6369740) (← links)
- Parameter Inference with Bifurcation Diagrams (Q6369745) (← links)
- Optimizing a Binary Intelligent Reflecting Surface for OFDM Communications under Mutual Coupling (Q6369752) (← links)
- Robust Generalization despite Distribution Shift via Minimum Discriminating Information (Q6369773) (← links)
- The Fast Kernel Transform (Q6369782) (← links)
- Bayesian Optimization over Hybrid Spaces (Q6369797) (← links)
- Provably Faster Algorithms for Bilevel Optimization (Q6369799) (← links)
- Fundamental Privacy Limits in Bipartite Networks under Active Attacks (Q6369818) (← links)
- Encoding physics to learn reaction-diffusion processes (Q6369821) (← links)
- Learning normal form autoencoders for data-driven discovery of universal,parameter-dependent governing equations (Q6369874) (← links)
- Mixture weights optimisation for Alpha-Divergence Variational Inference (Q6369876) (← links)
- Efficient Active Search for Combinatorial Optimization Problems (Q6369879) (← links)
- Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints (Q6369880) (← links)
- Single-Server Private Linear Transformation: The Individual Privacy Case (Q6369899) (← links)
- Aerial Reconfigurable Intelligent Surface-Aided Wireless Communication Systems (Q6369919) (← links)
- Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments (Q6369937) (← links)
- A Variational View on Statistical Multiscale Estimation (Q6369987) (← links)
- Large-scale optimal transport map estimation using projection pursuit (Q6369989) (← links)
- Near-Optimal High Probability Complexity Bounds for Non-Smooth Stochastic Optimization with Heavy-Tailed Noise (Q6370014) (← links)
- Sparse Bayesian Learning via Stepwise Regression (Q6370030) (← links)
- PyGAD: An Intuitive Genetic Algorithm Python Library (Q6370039) (← links)
- Understanding approximate and unrolled dictionary learning for pattern recovery (Q6370064) (← links)
- Encoding of probability distributions for Asymmetric Numeral Systems (Q6370078) (← links)
- Optimal qubit assignment and routing via integer programming (Q6370079) (← links)
- Learning the optimal Tikhonov regularizer for inverse problems (Q6370092) (← links)
- Optimal Counterfactual Explanations in Tree Ensembles (Q6370108) (← links)
- Distributionally Robust Optimization with Markovian Data (Q6370125) (← links)
- A public transit network optimization model for equitable access to social services (Q6370148) (← links)
