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

Convergence of Gradient Descent on Separable Data AISTATS 2019
Rates of Convergence for Sparse Variational Gaussian Process Regression ICML 2019
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension ICML 2019
First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems ICML 2019
Efficient learning of smooth probability functions from Bernoulli tests with guarantees ICML 2019
Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD ICML 2019
AdaGrad Stepsizes: Sharp Convergence Over Nonconvex Landscapes ICML 2019
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies NIPS 2019
On the convergence of single-call stochastic extra-gradient methods NIPS 2019
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization IJCAI 2019
Convergence-Rate-Matching Discretization of Accelerated Optimization Flows Through Opportunistic State-Triggered Control NIPS 2019
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization IJCAI 2019
Understanding the Role of Momentum in Stochastic Gradient Methods NIPS 2019
Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate COLT 2019
Reducing training time by efficient localized kernel regression AISTATS 2019
Regularized Contextual Bandits AISTATS 2019
Explicitly Coordinated Policy Iteration IJCAI 2019
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples NIPS 2019
On the Convergence Rate of Training Recurrent Neural Networks NIPS 2019
The implicit bias of gradient descent on nonseparable data COLT 2019
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization ICML 2019
Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization ICML 2018
Optimal Algorithms for Non-Smooth Distributed Optimization in Networks NIPS 2018
Direct Runge-Kutta Discretization Achieves Acceleration NIPS 2018
Coordinate Descent with Bandit Sampling NIPS 2018