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Continuous Optimization

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Papers

Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity JMLR 2018
Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization NIPS 2018
Joint Reasoning for Temporal and Causal Relations ACL 2018
ASVRG: Accelerated Proximal SVRG ACML 2018
Structured Gaussian Processes with Twin Multiple Kernel Learning ACML 2018
Efficient Projection onto the Perfect Phylogeny Model NIPS 2018
A Convex Duality Framework for GANs NIPS 2018
Multi-objective Maximization of Monotone Submodular Functions with Cardinality Constraint NIPS 2018
Robust Graph Dimensionality Reduction IJCAI 2018
A Group-based Approach to Improve Multifactorial Evolutionary Algorithm IJCAI 2018
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced NIPS 2018
Step Size Matters in Deep Learning NIPS 2018
Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds NIPS 2018
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport NIPS 2018
Multi-Objective Optimization Through Pareto Minimal Correction Subsets IJCAI 2018
Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives NIPS 2018
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization NIPS 2018
Combinatorial Preconditioners for Proximal Algorithms on Graphs AISTATS 2018
Certified Computation from Unreliable Datasets COLT 2018
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications AISTATS 2018
Stochastic Cubic Regularization for Fast Nonconvex Optimization NIPS 2018
Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models IJCAI 2018
Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018
Orchestrating a Network of Mereotopological Theories: An Abridged Report IJCAI 2018
Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling NIPS 2018