learning rate

An Adaptive Learning Rate for Stochastic Variational Inference ICML 2013 Large-Scale Learning with Less RAM via Randomization ICML 2013 No more pesky learning rates ICML 2013 Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) NeurIPS 2013 Optimal rates for stochastic convex optimization under Tsybakov noise condition ICML 2013 The Fast Convergence of Incremental PCA NeurIPS 2013 Consistency and Rates for Clustering with DBSCAN AISTATS 2012 Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness AISTATS 2012 Adaptive Hedge NeurIPS 2011 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization JMLR 2011 Environmental statistics and the trade-off between model-based and TD learning in humans NeurIPS 2011 Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning NeurIPS 2011 Optimal learning rates for least squares SVMs using Gaussian kernels NeurIPS 2011 Safe Learning: bridging the gap between Bayes, MDL and statistical learning theory via empirical convexity COLT 2011 Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning NeurIPS 2011 On the Theory of Learnining with Privileged Information NeurIPS 2010 Optimal learning rates for Kernel Conjugate Gradient regression NeurIPS 2010 Smoothness, Low Noise and Fast Rates NeurIPS 2010 Fast Learning from Non-i.i.d. Observations NeurIPS 2009 Online Learning with Samples Drawn from Non-identical Distributions JMLR 2009 Prediction With Expert Advice For The Brier Game JMLR 2009 Aggregation of SVM Classifiers Using Sobolev Spaces JMLR 2008 Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NeurIPS 2008 Temporal Difference Updating without a Learning Rate NeurIPS 2007 An Oracle Inequality for Clipped Regularized Risk Minimizers NeurIPS 2006