Co-occurring keywords · papers mentioning both
Papers
Deep Neural Decision Forests
ICCV 2015
Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions
COLT 2015
Fast Rates for Exp-concave Empirical Risk Minimization
NeurIPS 2015
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis
ICML 2015
Global Convergence of Online Limited Memory BFGS
JMLR 2015
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing
ICML 2015
Local Smoothness in Variance Reduced Optimization
NeurIPS 2015
Lower and Upper Bounds on the Generalization of Stochastic Exponentially Concave Optimization
COLT 2015
Non-Asymptotic Analysis of a New Bandit Algorithm for Semi-Bounded Rewards
JMLR 2015
Online Density Estimation of Bradley-Terry Models
COLT 2015
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays
ICML 2015
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference
NeurIPS 2015
Optimizing Neural Networks with Kronecker-factored Approximate Curvature
ICML 2015
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes
ICML 2015
PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent
ICML 2015
Probabilistic Line Searches for Stochastic Optimization
NeurIPS 2015
Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization
ACML 2015
Qualitative Multi-Armed Bandits: A Quantile-Based Approach
ICML 2015
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling
NeurIPS 2015
Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring
NeurIPS 2015
Revenue Optimization against Strategic Buyers
NeurIPS 2015
Scalable Variational Gaussian Process Classification
AISTATS 2015
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
NeurIPS 2015
Stochastic Dual Coordinate Ascent with Adaptive Probabilities
ICML 2015
Stochastic Optimization with Importance Sampling for Regularized Loss Minimization
ICML 2015