conftrace_

convergence rate

607 papers

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Co-occurring keywords

stochastic gradient descent (1091) convex optimization (1321) stochastic optimization (1060) gradient descent (1144) convergence analysis (395) non-convex optimization (547) nonconvex optimization (316) variance reduction (523) stochastic gradient (296) learning theory (519)

Papers

Improved Asynchronous Parallel Optimization Analysis for Stochastic Incremental Methods JMLR 2018
The Implicit Bias of Gradient Descent on Separable Data JMLR 2018
Compact Convex Projections JMLR 2018
How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD NIPS 2018
Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice JMLR 2018
Convergence of Unregularized Online Learning Algorithms JMLR 2018
New Balanced Active Learning Model and Optimization Algorithm IJCAI 2018
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization IJCAI 2018
Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018
Proximal SCOPE for Distributed Sparse Learning NIPS 2018
Faster Training Algorithms for Structured Sparsity-Inducing Norm IJCAI 2018
Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods AISTATS 2018
Batch-Expansion Training: An Efficient Optimization Framework AISTATS 2018
Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions ICML 2018
Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms AISTATS 2018
Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning COLT 2018
Plug-in Estimators for Conditional Expectations and Probabilities AISTATS 2018
Breaking the Span Assumption Yields Fast Finite-Sum Minimization NIPS 2018
A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints COLT 2017
Sparse Accelerated Exponential Weights AISTATS 2017
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees NIPS 2017
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure NIPS 2017
Convergence rates of a partition based Bayesian multivariate density estimation method NIPS 2017
Stochastic Composite Least-Squares Regression with Convergence Rate $O(1/n)$ COLT 2017
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent NIPS 2017