Skip to content
conftrace_

stochastic optimization

1,137 papers

SO

Papers

Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019 Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models AISTATS 2019 Fast Algorithm for Generalized Multinomial Models with Ranking Data ICML 2019 Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds AISTATS 2019 Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization AAAI 2019 Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization ICML 2019 Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems AISTATS 2019 Finding the bandit in a graph: Sequential search-and-stop AISTATS 2019 Fixing Mini-batch Sequences with Hierarchical Robust Partitioning AISTATS 2019 Hiring Under Uncertainty ICML 2019 How to Tame Your Anticipatory Algorithm IJCAI 2019 HyperAdam: A Learnable Task-Adaptive Adam for Network Training AAAI 2019 Improved Regret Bounds for Bandit Combinatorial Optimization NeurIPS 2019 Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty IJCAI 2019 Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs ICLR 2019 Joint Manifold Diffusion for Combining Predictions on Decoupled Observations CVPR 2019 Learning Local Search Heuristics for Boolean Satisfiability NeurIPS 2019 Linear Stochastic Bandits Under Safety Constraints NeurIPS 2019 Making the Cut: A Bandit-based Approach to Tiered Interviewing NeurIPS 2019 Modeling simple structures and geometry for better stochastic optimization algorithms AISTATS 2019 Multi-task Learning for Aggregated Data using Gaussian Processes NeurIPS 2019 Nonconvex Variance Reduced Optimization with Arbitrary Sampling ICML 2019 Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms AAAI 2019 Numerical Optimization to AI, and Back AAAI 2019 On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition AISTATS 2019