The following pages link to author name string (P43):
Displaying 50 items.
- Mixed-Integer Optimization with Constraint Learning (Q6382474) (← links)
- Nonnegative Tensor Completion via Integer Optimization (Q6382488) (← links)
- Model-assisted deep learning of rare extreme events from partial observations (Q6382534) (← links)
- Can Information Flows Suggest Targets for Interventions in Neural Circuits? (Q6382616) (← links)
- ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees (Q6382646) (← links)
- Parallel Physics-Informed Neural Networks with Bidirectional Balance (Q6382672) (← links)
- The Impact of Changes in Resolution on the Persistent Homology of Images (Q6382676) (← links)
- The Cut-and-Play Algorithm: Computing Nash Equilibria via Outer Approximations (Q6382693) (← links)
- Tight bounds for minimum l1-norm interpolation of noisy data (Q6382746) (← links)
- On the Equivalence between Neural Network and Support Vector Machine (Q6382760) (← links)
- A categorical Connes' $\chi(M)$ (Q6382816) (← links)
- Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs (Q6382845) (← links)
- Scalable Algorithms for Bicriterion Trip-Based Transit Routing (Q6382872) (← links)
- HybridQ: A Hybrid Simulator for Quantum Circuits (Q6382908) (← links)
- Neural Capacity Estimators: How Reliable Are They? (Q6383019) (← links)
- Vision-Position Multi-Modal Beam Prediction Using Real Millimeter Wave Datasets (Q6383047) (← links)
- Generate plane quad mesh with neural networks and tree search (Q6383056) (← links)
- Functional Broadcast Repair of Multiple Partial Failures in Wireless Distributed Storage Systems (Q6383099) (← links)
- ZERO: Playing Mathematical Programming Games (Q6383105) (← links)
- Distribution Compression in Near-linear Time (Q6383107) (← links)
- Hybrid Beam Alignment for Multi-Path Channels: A Group Testing Viewpoint (Q6383135) (← links)
- Stochastic Extragradient: General Analysis and Improved Rates (Q6383212) (← links)
- On the Formation of Min-weight Codewords of Polar/PAC Codes and Its Applications (Q6383242) (← links)
- Differentially Private Federated Learning on Heterogeneous Data (Q6383322) (← links)
- Unbiased Risk Estimation in the Normal Means Problem via Coupled Bootstrap Techniques (Q6383344) (← links)
- Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration (Q6383377) (← links)
- A Quantum Algorithm for the Sub-Graph Isomorphism Problem (Q6383388) (← links)
- FastDOG: Fast Discrete Optimization on GPU (Q6383469) (← links)
- A Semi-Supervised Adaptive Discriminative Discretization Method Improving Discrimination Power of Regularized Naive Bayes (Q6383590) (← links)
- Using prior information to boost power in correlation structure support recovery (Q6383657) (← links)
- A Surrogate Objective Framework for Prediction+Optimization with Soft Constraints (Q6383669) (← links)
- Lossless Compression with Probabilistic Circuits (Q6383715) (← links)
- QuantumCircuitOpt: An Open-source Framework for Provably Optimal Quantum Circuit Design (Q6383722) (← links)
- HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance (Q6383767) (← links)
- Topology optimization for the design of porous electrodes (Q6383781) (← links)
- Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks (Q6383782) (← links)
- Towards Empirical Sandwich Bounds on the Rate-Distortion Function (Q6383793) (← links)
- Efficient semidefinite bounds for multi-label discrete graphical models (Q6383851) (← links)
- Probabilistic Behavioral Distance and Tuning - Reducing and aggregating complex systems (Q6383862) (← links)
- A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits (Q6383865) (← links)
- Multiplier bootstrap for Bures-Wasserstein barycenters (Q6383879) (← links)
- Data-driven distributionally robust iterative risk-constrained model predictive control (Q6383936) (← links)
- Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks (Q6383965) (← links)
- Outlier Detection for Trajectories via Flow-embeddings (Q6383979) (← links)
- NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning (Q6384103) (← links)
- Amortized Implicit Differentiation for Stochastic Bilevel Optimization (Q6384225) (← links)
- Computer Vision Aided Beam Tracking in A Real-World Millimeter Wave Deployment (Q6384280) (← links)
- Bayesian Optimization for auto-tuning GPU kernels (Q6384297) (← links)
- Trust the Critics: Generatorless and Multipurpose WGANs with Initial Convergence Guarantees (Q6384315) (← links)
- Stochastic modeling of surface scalar-flux fluctuations in turbulent channel flow using one-dimensional turbulence (Q6384365) (← links)
