The following pages link to author name string (P43):
Displaying 50 items.
- Learning Dissipative Dynamics in Chaotic Systems (Q6370153) (← links)
- Low-memory stochastic backpropagation with multi-channel randomized trace estimation (Q6370163) (← links)
- PopSkipJump: Decision-Based Attack for Probabilistic Classifiers (Q6370243) (← links)
- NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning (Q6370245) (← 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)
- A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip (Q6370284) (← 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)
- 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)
- 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)
- 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)
- 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)
- Graph Neural Networks for Learning Real-Time Prices in Electricity Market (Q6370737) (← links)
- Memory Augmented Optimizers for Deep Learning (Q6370773) (← links)
- Lossy Compression for Lossless Prediction (Q6370794) (← links)
- Secure Distributed Training at Scale (Q6370856) (← links)
- Cell fusion through slime mold network dynamics (Q6370873) (← links)
- Instance-Optimal Compressed Sensing via Posterior Sampling (Q6370893) (← links)
- Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models (Q6370926) (← links)
- Neural Distributed Image Compression using Common Information (Q6370948) (← links)
- Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes (Q6370987) (← links)
- Bregman Gradient Policy Optimization (Q6371014) (← links)
- A Unifying Modeling Abstraction for Infinite-Dimensional Optimization (Q6371105) (← links)
- A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear Equality Constrained Optimization with Rank-Deficient Jacobians (Q6371157) (← links)
- Pheno-Mapper: An Interactive Toolbox for the Visual Exploration of Phenomics Data (Q6371203) (← links)
- Binary Matrix Factorisation and Completion via Integer Programming (Q6371208) (← links)
- $\mathcal{N}$IPM-HLSP: An Efficient Interior-Point Method for Hierarchical Least-Squares Programs (Q6371240) (← links)
- Quantum Data Compression and Quantum Cross Entropy (Q6371285) (← links)
- Bayesian Mechanics for Stationary Processes (Q6371286) (← links)
- Closed-form Continuous-time Neural Models (Q6371296) (← links)
- Stochastic Parameterization using Compressed Sensing: Application to the Lorenz-96 Atmospheric Model (Q6371329) (← links)
- Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits (Q6371461) (← links)
- Online Estimation and Coverage Control with Heterogeneous Sensing Information (Q6371480) (← links)
- Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition (Q6371482) (← links)
- Tensor-train approximation of the chemical master equation and its application for parameter inference (Q6371516) (← links)
- Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors (Q6371533) (← links)
- Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity (Q6371678) (← links)
- Adaptive Capped Least Squares (Q6371685) (← links)
- Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets (Q6371744) (← links)
- On the Bike Spreading Problem (Q6371779) (← links)
