convergence rate

Understanding the Effect of Stochasticity in Policy Optimization NeurIPS 2021 Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces JMLR 2021 When does gradient descent with logistic loss interpolate using deep networks with smoothed ReLU activations? COLT 2021 Accelerating SGD with momentum for over-parameterized learning ICLR 2020 Accelerating Stratified Sampling SGD by Reconstructing Strata IJCAI 2020 AdaGrad stepsizes: Sharp convergence over nonconvex landscapes JMLR 2020 Adam with Bandit Sampling for Deep Learning NeurIPS 2020 Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition ICML 2020 A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization AISTATS 2020 A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation ICML 2020 A Lyapunov analysis for accelerated gradient methods: from deterministic to stochastic case AISTATS 2020 An Improved Analysis of Stochastic Gradient Descent with Momentum NeurIPS 2020 Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance NeurIPS 2020 A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound AAAI 2020 A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games AISTATS 2020 A Unified q-Memorization Framework for Asynchronous Stochastic Optimization JMLR 2020 Boosted Histogram Transform for Regression ICML 2020 Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates NeurIPS 2020 Class-Weighted Classification: Trade-offs and Robust Approaches ICML 2020 Closing the convergence gap of SGD without replacement ICML 2020 Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling AISTATS 2020 Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters NeurIPS 2020 Convergence Rate of Optimal Quantization and Application to the Clustering Performance of the Empirical Measure JMLR 2020 Convergence Rates for the Stochastic Gradient Descent Method for Non-Convex Objective Functions JMLR 2020 Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization ACML 2020