Multiuser Scheduling in Centralized Cognitive Radio Networks: A Multi-Armed Bandit Approach | 0 | 0.34 | 2022 |
Robust Learning for Data Poisoning Attacks | 0 | 0.34 | 2021 |
Corralling Stochastic Bandit Algorithms | 0 | 0.34 | 2021 |
Dropout: Explicit Forms And Capacity Control | 0 | 0.34 | 2021 |
On Convergence and Generalization of Dropout Training | 0 | 0.34 | 2020 |
Grounded Sequence to Sequence Transduction. | 0 | 0.34 | 2020 |
Adversarial Robustness Of Supervised Sparse Coding | 0 | 0.34 | 2020 |
FetchSGD: Communication-Efficient Federated Learning with Sketching | 0 | 0.34 | 2020 |
On Differentially Private Graph Sparsification and Applications | 0 | 0.34 | 2019 |
Bandits with Feedback Graphs and Switching Costs | 0 | 0.34 | 2019 |
Efficient Convex Relaxations for Streaming PCA | 0 | 0.34 | 2019 |
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About Its Nonsmooth Loss Function | 0 | 0.34 | 2019 |
On Dropout and Nuclear Norm Regularization. | 1 | 0.35 | 2019 |
Policy Regret in Repeated Games. | 0 | 0.34 | 2018 |
On the Implicit Bias of Dropout. | 4 | 0.42 | 2018 |
Symmetry. Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization | 7 | 0.44 | 2018 |
Learning From Multiview Correlations In Open-Domain Videos | 1 | 0.34 | 2018 |
Differentially Private Robust Low-Rank Approximation. | 0 | 0.34 | 2018 |
Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features. | 0 | 0.34 | 2018 |
Streaming Principal Component Analysis in Noisy Settings. | 1 | 0.35 | 2018 |
Stochastic PCA with š2 and š1 Regularization. | 0 | 0.34 | 2018 |
Streaming Kernel PCA with Ć(ān) Random Features. | 0 | 0.34 | 2018 |
The Physical Systems Behind Optimization Algorithms | 0 | 0.34 | 2018 |
NeuroSpeech: An open-source software for Parkinson's speech analysis. | 4 | 0.58 | 2018 |
A Speaker Adaptive Dnn Training Approach For Speaker-Independent Acoustic Inversion | 0 | 0.34 | 2017 |
Learning to Imagine Manipulation Goals for Robot Task Planning. | 0 | 0.34 | 2017 |
Stochastic Approximation for Canonical Correlation Analysis. | 1 | 0.36 | 2017 |
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization. | 0 | 0.34 | 2017 |
Understanding Deep Neural Networks with Rectified Linear Units. | 7 | 0.44 | 2017 |
Deep Generalized Canonical Correlation Analysis | 5 | 0.41 | 2017 |
A First Order Free Lunch for SQRT-Lasso. | 1 | 0.36 | 2016 |
Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization. | 0 | 0.34 | 2016 |
An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization. | 2 | 0.37 | 2016 |
Disease Trajectory Maps. | 5 | 0.57 | 2016 |
Learning Multiview Embeddings Of Twitter Users | 16 | 0.68 | 2016 |
Stochastic Optimization for Multiview Representation Learning using Partial Least Squares. | 5 | 0.47 | 2016 |
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning. | 11 | 0.58 | 2016 |
On Deep Multi-View Representation Learning: Objectives and Optimization. | 5 | 0.43 | 2016 |
Embedding Lexical Features via Low-Rank Tensors. | 0 | 0.34 | 2016 |
On Deep Multi-View Representation Learning | 87 | 1.94 | 2015 |
Multiview LSA: Representation Learning Via Generalized CCA | 22 | 0.81 | 2015 |
Stochastic optimization for deep CCA via nonlinear orthogonal iterations | 17 | 0.68 | 2015 |
Multi-view learning with supervision for transformed bottleneck features | 12 | 0.60 | 2014 |
Robust Stochastic Principal Component Analysis. | 13 | 0.62 | 2014 |
Reconstruction of articulatory measurements with smoothed low-rank matrix completion | 5 | 0.47 | 2014 |
Similarity-based clustering by left-stochastic matrix factorization | 2 | 0.40 | 2013 |
Consensus Ranking with Signed Permutations. | 2 | 0.39 | 2013 |
Stochastic Optimization of PCA with Capped MSG. | 28 | 1.39 | 2013 |
Deep Canonical Correlation Analysis. | 33 | 0.98 | 2013 |
Multi-View Cca-Based Acoustic Features For Phonetic Recognition Across Speakers And Domains | 34 | 1.16 | 2013 |