The following pages link to has companion code repository (P1687):
Displaying 50 items.
- 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)
- Scalars are universal: Equivariant machine learning, structured like classical physics (Q6370105) (← 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)
- Learning Dissipative Dynamics in Chaotic Systems (Q6370153) (← links)
- Low-memory stochastic backpropagation with multi-channel randomized trace estimation (Q6370163) (← links)
- A Computational Information Criterion for Particle-Tracking with Sparse or Noisy Data (Q6370180) (← links)
- MTC: Multiresolution Tensor Completion from Partial and Coarse Observations (Q6370186) (← links)
- Triangle Sides for Congruent Numbers less than 10,000 (Q6370222) (← links)
- PopSkipJump: Decision-Based Attack for Probabilistic Classifiers (Q6370243) (← links)
- NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning (Q6370245) (← links)
- Subdivergence-free gluings of trees (Q6370257) (← links)
- Dependency in DAG models with Hidden Variables (Q6370261) (← links)
- A Wasserstein Minimax Framework for Mixed Linear Regression (Q6370264) (← links)
- Improving Metric Dimensionality Reduction with Distributed Topology (Q6370277) (← links)
- Fast symplectic integrator for Nesterov-type acceleration method (Q6370279) (← links)
- A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip (Q6370284) (← links)
- Extracting Global Dynamics of Loss Landscape in Deep Learning Models (Q6370289) (← links)
- Detecting Viruses in Contact Networks with Unreliable Detectors (Q6370316) (← links)
- ATD: Augmenting CP Tensor Decomposition by Self Supervision (Q6370331) (← links)
- Improving the List Decoding Version of the Cyclically Equivariant Neural Decoder (Q6370340) (← links)
- SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients (Q6370375) (← links)
- Application of a High Order Accurate Meshless Method to Solution of Heat Conduction in Complex Geometries (Q6370418) (← links)
- Robust Training in High Dimensions via Block Coordinate Geometric Median Descent (Q6370466) (← links)
- RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks (Q6370478) (← links)
- Second-Order Conic and Polyhedral Approximations of the Exponential Cone: Application to Mixed-Integer Exponential Conic Programs (Q6370500) (← links)
- Convex Optimization for Trajectory Generation (Q6370501) (← links)
- Quantum Optimal Control for Pure-State Preparation Using One Initial State (Q6370505) (← links)
- Mixed-Integer Nonlinear Programming for State-based Non-Intrusive Load Monitoring (Q6370509) (← links)
- Minimax Estimation of Partially-Observed Vector AutoRegressions (Q6370533) (← links)
- A structure-preserving surrogate model for the closure of the moment system of the Boltzmann equation using convex deep neural networks (Q6370554) (← links)
- Super-Acceleration with Cyclical Step-sizes (Q6370588) (← links)
- Is Channel Estimation Necessary to Select Phase-Shifts for RIS-Assisted Massive MIMO? (Q6370601) (← links)
- Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses (Q6370602) (← links)
- On the Prandtl-Kolmogorov 1-equation model of turbulence (Q6370623) (← links)
- A transformation-based approach for solving stiff two-point boundary value problems (Q6370638) (← links)
- Computations associated with the resonance arrangement (Q6370640) (← links)
- Deep Learning Based MAC via Joint Channel Access and Rate Adaptation (Q6370693) (← links)
- Universal Rate-Distortion-Perception Representations for Lossy Compression (Q6370694) (← links)
- High Relative Degree Control Barrier Functions Under Input Constraints (Q6370698) (← links)
- Systemic Infinitesimal Over-dispersion on Graphical Dynamic Models (Q6370705) (← links)
- SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums (Q6370733) (← links)
