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Optimization

14,207 papers

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Papers

Adaptive balancing of gradient and update computation times using global geometry and approximate subproblems AISTATS 2018
A Generic Approach for Escaping Saddle points AISTATS 2018
Sketching for Kronecker Product Regression and P-splines AISTATS 2018
Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go? AISTATS 2018
Teacher Improves Learning by Selecting a Training Subset AISTATS 2018
Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation AISTATS 2018
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method AISTATS 2018
Frank-Wolfe Splitting via Augmented Lagrangian Method AISTATS 2018
Convergence diagnostics for stochastic gradient descent with constant learning rate AISTATS 2018
Stochastic algorithms for entropy-regularized optimal transport problems AISTATS 2018
Combinatorial Penalties: Which structures are preserved by convex relaxations? AISTATS 2018
Learning Generative Models with Sinkhorn Divergences AISTATS 2018
Efficient Weight Learning in High-Dimensional Untied MLNs AISTATS 2018
Solving lp-norm regularization with tensor kernels AISTATS 2018
Practical Bayesian optimization in the presence of outliers AISTATS 2018
Structured Optimal Transport AISTATS 2018
Asynchronous Doubly Stochastic Group Regularized Learning AISTATS 2018
On denoising modulo 1 samples of a function AISTATS 2018
Gradient Diversity: a Key Ingredient for Scalable Distributed Learning AISTATS 2018
HONES: A Fast and Tuning-free Homotopy Method For Online Newton Step AISTATS 2018
A Unified Dynamic Approach to Sparse Model Selection AISTATS 2018
Bootstrapping EM via Power EM and Convergence in the Naive Bayes Model AISTATS 2018
Coordinate Descent Faceoff: Primal or Dual? ALT 2018
Joint Modeling of Structure Identification and Nuclearity Recognition in Macro Chinese Discourse Treebank COLING 2018
Self-Normalization Properties of Language Modeling COLING 2018