| An Agnostic Approach to Federated Learning with Class Imbalance | 0 | 0.34 | 2022 |
| Self-Consistency of the Fokker Planck Equation. | 0 | 0.34 | 2022 |
| From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs. | 0 | 0.34 | 2022 |
| Federated Functional Gradient Boosting | 0 | 0.34 | 2022 |
| A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method | 0 | 0.34 | 2021 |
| Accelerating Stratified Sampling SGD by Reconstructing Strata | 0 | 0.34 | 2020 |
| Sinkhorn Barycenter via Functional Gradient Descent | 0 | 0.34 | 2020 |
| Sinkhorn Natural Gradient for Generative Models | 0 | 0.34 | 2020 |
| Efficient Projection-Free Online Methods With Stochastic Recursive Gradient | 0 | 0.34 | 2020 |
| Aggregated Gradient Langevin Dynamics | 0 | 0.34 | 2020 |
| Stochastic Conditional Gradient Plus Plus : (Non)Convex Minimization And Continuous Submodular Maximization | 0 | 0.34 | 2020 |
| Stochastic Conditional Gradient++. | 0 | 0.34 | 2019 |
| Arrhythmia Recognition And Classification Through Deep Learning-Based Approach | 0 | 0.34 | 2019 |
| A novel approach for mobile malware classification and detection in Android systems. | 2 | 0.37 | 2019 |
| Hessian Aided Policy Gradient | 2 | 0.35 | 2019 |
| Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match | 0 | 0.34 | 2019 |
| Decentralized Gradient Tracking for Continuous DR-Submodular Maximization | 0 | 0.34 | 2019 |
| Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. | 2 | 0.36 | 2018 |
| GVM based intuitive simulation web application for collision detection. | 0 | 0.34 | 2018 |
| JUMP: a Jointly Predictor for User Click and Dwell Time. | 4 | 0.38 | 2018 |
| Tensor Completion with Side Information: A Riemannian Manifold Approach. | 2 | 0.36 | 2017 |
| Path Embeddings with Prescribed Edge in the Balanced Hypercube Network. | 2 | 0.38 | 2017 |
| Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. | 0 | 0.34 | 2017 |
| Accelerated Stochastic ADMM with Variance Reduction. | 0 | 0.34 | 2016 |
| Fast Hybrid Algorithm for Big Matrix Recovery. | 0 | 0.34 | 2016 |
| Adaptive Variance Reducing for Stochastic Gradient Descent. | 1 | 0.36 | 2016 |
| Simple atom selection strategy for greedy matrix completion | 2 | 0.38 | 2015 |
