The following pages link to author name string (P43):
Displaying 50 items.
- HNS: An Efficient Hermite Neural Solver for Solving Time-Fractional Partial Differential Equations (Q6454172) (← links)
- Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks (Q6454189) (← links)
- Markov Chain Monte Carlo Significance Tests (Q6454205) (← links)
- Resource Efficient Boolean Function Solver on Quantum Computer (Q6454224) (← links)
- Transfer learning for piecewise-constant mean estimation: Optimality, $\ell_1$- and $\ell_0$-penalisation (Q6454367) (← links)
- Conformal Prediction for Deep Classifier via Label Ranking (Q6454499) (← links)
- Optimal estimation of pure states with displaced-null measurements (Q6454576) (← links)
- Boosting Learning for LDPC Codes to Improve the Error-Floor Performance (Q6454665) (← links)
- A Unified Algorithmic Framework for Dynamic Compressive Sensing (Q6454668) (← links)
- Functional renormalization group for signal detection and stochastic ergodicity breaking (Q6454731) (← links)
- Another approach to get derivative of odd-power (Q6454792) (← links)
- Hierarchical planning-scheduling-control -- Optimality surrogates and derivative-free optimization (Q6454799) (← links)
- Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects (Q6454844) (← links)
- Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift (Q6454863) (← links)
- Fast Search Method for Large Polarization Kernels (Q6454901) (← links)
- Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining (Q6454951) (← links)
- Fast Screening Rules for Optimal Design via Quadratic Lasso Reformulation (Q6455022) (← links)
- Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling (Q6455077) (← links)
- Statistical guarantees for stochastic Metropolis-Hastings (Q6455114) (← links)
- A Semiparametric Instrumented Difference-in-Differences Approach to Policy Learning (Q6455166) (← links)
- On Statistical Learning of Branch and Bound for Vehicle Routing Optimization (Q6455281) (← links)
- A simple uniformly optimal method without line search for convex optimization (Q6455290) (← links)
- The Mixtures and the Neural Critics: On the Pointwise Mutual Information Profiles of Fine Distributions (Q6455323) (← links)
- Optimal vintage factor analysis with deflation varimax (Q6455387) (← links)
- Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems (Q6455400) (← links)
- A Computational Framework for Solving Wasserstein Lagrangian Flows (Q6455407) (← links)
- Regularization properties of adversarially-trained linear regression (Q6455423) (← links)
- Collision Cone Control Barrier Functions: Experimental Validation on UGVs for Kinematic Obstacle Avoidance (Q6455434) (← links)
- Exact nonlinear state estimation (Q6455465) (← links)
- Matrix Compression via Randomized Low Rank and Low Precision Factorization (Q6455476) (← links)
- Group-blind optimal transport to group parity and its constrained variants (Q6455548) (← links)
- Adaptive Bootstrap Tests for Composite Null Hypotheses in the Mediation Pathway Analysis (Q6455594) (← links)
- Kernel Learning in Ridge Regression "Automatically" Yields Exact Low Rank Solution (Q6455616) (← links)
- Adversarial Training for Physics-Informed Neural Networks (Q6455629) (← links)
- Post-clustering Inference under Dependency (Q6455634) (← links)
- Dynamic financial processes identification using sparse regressive reservoir computers (Q6455693) (← links)
- Prediction and control of spatiotemporal chaos by learning conjugate tubular neighborhoods (Q6455706) (← links)
- Quasi Manhattan Wasserstein Distance (Q6455768) (← links)
- SemantIC: Semantic Interference Cancellation Towards 6G Wireless Communications (Q6455827) (← links)
- Quantum Annealing Solutions for the Closest String Problem with D-Wave Systems (Q6455850) (← links)
- On propensity score matching with a diverging number of matches (Q6456146) (← links)
- Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs (Q6456264) (← links)
- Learning spatio-temporal patterns with Neural Cellular Automata (Q6456294) (← links)
- Robust Outlier Detection Method Based on Local Entropy and Global Density (Q6456330) (← links)
- TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge (Q6456350) (← links)
- Application of deep and reinforcement learning to boundary control problems (Q6456387) (← links)
- Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing (Q6456419) (← links)
- qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling (Q6456515) (← links)
- Efficiently generating inverse-Wishart matrices and their Cholesky factors (Q6456546) (← links)
- Delaunay Bifiltrations of Functions on Point Clouds (Q6456549) (← links)
