The following pages link to author name string (P43):
Displaying 50 items.
- Enhanced Modeling of Contingency Response in Security-constrained Optimal Power Flow (Q6360829) (← links)
- A Safety and Passivity Filter for Robot Teleoperation Systems (Q6360840) (← links)
- Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes (Q6360881) (← links)
- Robust and Differentially Private Mean Estimation (Q6360926) (← links)
- Permutation-Based SGD: Is Random Optimal? (Q6361010) (← links)
- Efficient Riccati recursion for optimal control problems with pure-state equality constraints (Q6361015) (← links)
- A Reinforcement Learning Approach to Age of Information in Multi-User Networks with HARQ (Q6361026) (← links)
- Inferring the minimum spanning tree from a sample network (Q6361046) (← links)
- Characterising Alzheimer's Disease with EEG-based Energy Landscape Analysis (Q6361048) (← links)
- Network Coding with Myopic Adversaries (Q6361049) (← links)
- A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization (Q6361052) (← links)
- Fading Margins for Large-Scale Antenna Systems (Q6361053) (← links)
- Distributed Bootstrap for Simultaneous Inference Under High Dimensionality (Q6361086) (← links)
- Channel Estimation and Data Detection Analysis of Massive MIMO with 1-Bit ADCs (Q6361105) (← links)
- Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables (Q6361140) (← links)
- GIST: Distributed Training for Large-Scale Graph Convolutional Networks (Q6361158) (← links)
- Adaptive deep learning for time-varying systems with hidden parameters: Predicting changing input beam distributions of compact particle accelerators (Q6361172) (← links)
- Dynamical Analysis of the EIP-1559 Ethereum Fee Market (Q6361180) (← links)
- Electromagnetic Model of Reflective Intelligent Surfaces (Q6361206) (← links)
- A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization (Q6361215) (← links)
- Slowly Varying Regression under Sparsity (Q6361236) (← links)
- Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding (Q6361281) (← links)
- HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search (Q6361349) (← links)
- Solving high-dimensional parabolic PDEs using the tensor train format (Q6361379) (← links)
- Preserved central model for faster bidirectional compression in distributed settings (Q6361490) (← links)
- A Stochastic Optimization Framework for Fair Risk Minimization (Q6361498) (← links)
- Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples (Q6361508) (← links)
- Learning orbital dynamics of binary black hole systems from gravitational wave measurements (Q6361515) (← links)
- CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection with Low Complexity (Q6361523) (← links)
- Maximizing Social Welfare and Agreement via Information Design in Linear-Quadratic-Gaussian Games (Q6361554) (← links)
- Federated Multi-armed Bandits with Personalization (Q6361564) (← links)
- Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model (Q6361570) (← links)
- MIND: Inductive Mutual Information Estimation, A Convex Maximum-Entropy Copula Approach (Q6361576) (← links)
- Moreau-Yosida $f$-divergences (Q6361608) (← links)
- PySensors: A Python Package for Sparse Sensor Placement (Q6361620) (← links)
- Federated Edge Learning with Misaligned Over-The-Air Computation (Q6361642) (← links)
- Deciphering Bitcoin Blockchain Data by Cohort Analysis (Q6361678) (← links)
- ProbLP: A framework for low-precision probabilistic inference (Q6361685) (← links)
- Learning-Based Phase Compression and Quantization for Massive MIMO CSI Feedback with Magnitude-Aided Information (Q6361727) (← links)
- Manifold optimization for non-linear optimal transport problems (Q6361805) (← links)
- TSSOS: a Julia library to exploit sparsity for large-scale polynomial optimization (Q6361809) (← links)
- Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers (Q6361877) (← links)
- Computing foaming flows across scales: from breaking waves to microfluidics (Q6361905) (← links)
- Multi-robot task allocation for safe planning against stochastic hazard dynamics (Q6361956) (← links)
- Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation (Q6361965) (← links)
- LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes (Q6362008) (← links)
- Straggler Mitigation through Unequal Error Protection for Distributed Approximate Matrix Multiplication (Q6362118) (← links)
- Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices (Q6362163) (← links)
- Second-order step-size tuning of SGD for non-convex optimization (Q6362208) (← links)
- Unbalanced minibatch Optimal Transport; applications to Domain Adaptation (Q6362213) (← links)
