The following pages link to author name string (P43):
Displaying 50 items.
- Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams that Adapt to Deployment and Hardware (Q6343750) (← links)
- Anderson Acceleration for Nonconvex ADMM Based on Douglas-Rachford Splitting (Q6343753) (← links)
- Learning compositional functions via multiplicative weight updates (Q6343757) (← links)
- Newton-type Methods for Minimax Optimization (Q6343762) (← links)
- What they do when in doubt: a study of inductive biases in seq2seq learners (Q6343814) (← links)
- Hybrid Models for Learning to Branch (Q6343852) (← links)
- Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python (Q6343860) (← links)
- Valid model-free spatial prediction (Q6343906) (← links)
- Lookahead-Bounded Q-Learning (Q6343917) (← links)
- Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees (Q6343932) (← links)
- A Macroeconomic SIR Model for COVID-19 (Q6344031) (← links)
- Theory-Inspired Path-Regularized Differential Network Architecture Search (Q6344059) (← links)
- Robust Kernel Density Estimation with Median-of-Means principle (Q6344068) (← links)
- Machine Learning and Algebraic Approaches towards Complete Matter Spectra in 4d F-theory (Q6344137) (← links)
- Efficient parallel 3D computation of the compressible Euler equations with an invariant-domain preserving second-order finite-element scheme (Q6344148) (← links)
- Review of Learning-Assisted Power System Optimization (Q6344161) (← links)
- Decentralised Learning with Random Features and Distributed Gradient Descent (Q6344181) (← links)
- UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach (Q6344216) (← links)
- Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search (Q6344235) (← links)
- On the Outsized Importance of Learning Rates in Local Update Methods (Q6344251) (← links)
- Gradient-only line searches to automatically determine learning rates for a variety of stochastic training algorithms (Q6344272) (← links)
- Tilted Empirical Risk Minimization (Q6344291) (← links)
- MAESTRO-X: Distributed Orchestration of Rotary-Wing UAV-Relay Swarms (Q6344302) (← links)
- Ground Truth Free Denoising by Optimal Transport (Q6344348) (← links)
- On Second order correctness of Bootstrap in Logistic Regression (Q6344352) (← links)
- DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths (Q6344405) (← links)
- On spectral algorithms for community detection in stochastic blockmodel graphs with vertex covariates (Q6344417) (← links)
- Multi-Armed Bandit Based Client Scheduling for Federated Learning (Q6344434) (← links)
- Nonlinear Transform Coding (Q6344527) (← links)
- Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications (Q6344581) (← links)
- Four Cubes (Q6344636) (← links)
- Efficient and Parallel Separable Dictionary Learning (Q6344638) (← links)
- Non-parametric Models for Non-negative Functions (Q6344647) (← links)
- Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks (Q6344712) (← links)
- Dota Underlords game is NP-complete (Q6344781) (← links)
- Deep Unfolding Basis Pursuit: Improving Sparse Channel Reconstruction via Data-Driven Measurement Matrices (Q6344800) (← links)
- List Viterbi Decoding of PAC Codes (Q6344825) (← links)
- Effect of Objective Function on Data-Driven Greedy Sparse Sensor Optimization (Q6344830) (← links)
- Bayesian Optimization of Risk Measures (Q6344849) (← links)
- An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization (Q6344868) (← links)
- Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones (Q6344872) (← links)
- Submodular Meta-Learning (Q6344895) (← links)
- Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO (Q6344988) (← links)
- Momentum-Based Policy Gradient Methods (Q6345011) (← links)
- A Decentralized Approach to Bayesian Learning (Q6345030) (← links)
- Follow the bisector: a simple method for multi-objective optimization (Q6345052) (← links)
- Global optimality in model predictive control via hidden invariant convexity (Q6345075) (← links)
- Optimal Learning for Structured Bandits (Q6345100) (← links)
- Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions (Q6345120) (← links)
- Inferring network properties from time series using transfer entropy and mutual information: validation of multivariate versus bivariate approaches (Q6345130) (← links)
