Works matching IS 15324435 AND DT 2017 AND VI 18 AND IP 99-123
Results: 25
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Probabilistic Line Searches for Stochastic Optimization.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Kernel Partial Least Squares for Stationary Data.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Bayesian Network Learning via Topological Order.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Optimal Dictionary for Least Squares Representation.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Confidence Sets with Expected Sizes for Multiclass Classification.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Second-Order Stochastic Optimization for Machine Learning in Linear Time.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Distributed Stochastic Variance Reduced Gradient Methods by Sampling Extra Data with Replacement.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Learning Instrumental Variables with Structural and Non-Gaussianity Assumptions.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Computational Limits of A Distributed Algorithm for Smoothing Spline.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Document Neural Autoregressive Distribution Estimation.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Approximation Vector Machines for Large-scale Online Learning.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Stability of Controllers for Gaussian Process Dynamics.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Clustering with Hidden Markov Model on Variable Blocks.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Accelerating Stochastic Composition Optimization.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Classiffication of Time Sequences using Graphs of Temporal Constraints.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Efficient Sampling from Time-Varying Log-Concave Distributions.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article
Online Learning to Rank with Top-k Feedback.
- Published in:
- Journal of Machine Learning Research, 2017, v. 18, n. 99-123, p. 1
- By:
- Publication type:
- Article