One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities Sep 23, 2016 General Classification Language Modeling
— Unverified Gray-box inference for structured Gaussian process models Sep 14, 2016 Stochastic Optimization Structured Prediction
— Unverified Stochastic Heavy Ball Sep 14, 2016 Second-order methods Stochastic Optimization
— Unverified Stochastic Learning of Multi-Instance Dictionary for Earth Mover's Distance based Histogram Comparison Sep 3, 2016 Dictionary Learning Image Retrieval
— Unverified Doubly stochastic large scale kernel learning with the empirical kernel map Sep 2, 2016 Stochastic Optimization
— Unverified Generic Inference in Latent Gaussian Process Models Sep 2, 2016 General Classification Stochastic Optimization
Code Code Available SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques Sep 2, 2016 Stochastic Optimization
Code Code Available Data Dependent Convergence for Distributed Stochastic Optimization Aug 30, 2016 Stochastic Optimization
— Unverified Learning Structured Predictors from Bandit Feedback for Interactive NLP Aug 1, 2016 Machine Translation Stochastic Optimization
— Unverified Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization Jul 5, 2016 Binary Classification General Classification
— Unverified Accelerate Stochastic Subgradient Method by Leveraging Local Growth Condition Jul 4, 2016 Stochastic Optimization
— Unverified Convolutional Sketch Inversion Jun 9, 2016 Stochastic Optimization
Code Code Available Distributed stochastic optimization via matrix exponential learning Jun 3, 2016 Stochastic Optimization valid
— Unverified Simultaneous Clustering and Model Selection for Tensor Affinities Jun 1, 2016 Clustering model
— Unverified Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification Jun 1, 2016 General Classification Stochastic Optimization
— Unverified Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks May 31, 2016 Stochastic Optimization
— Unverified CYCLADES: Conflict-free Asynchronous Machine Learning May 31, 2016 BIG-bench Machine Learning Stochastic Optimization
Code Code Available Stochastic Optimization for Large-scale Optimal Transport May 27, 2016 Stochastic Optimization
— Unverified Faster Eigenvector Computation via Shift-and-Invert Preconditioning May 26, 2016 Stochastic Optimization
— Unverified Kronecker Determinantal Point Processes May 26, 2016 Point Processes Stochastic Optimization
Code Code Available Effective Blind Source Separation Based on the Adam Algorithm May 25, 2016 blind source separation Stochastic Optimization
— Unverified NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization May 25, 2016 Stochastic Optimization
— Unverified Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds May 23, 2016 Riemannian optimization Stochastic Optimization
— Unverified Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks May 23, 2016 Model-based Reinforcement Learning reinforcement-learning
Code Code Available The Information-Collecting Vehicle Routing Problem: Stochastic Optimization for Emergency Storm Response May 18, 2016 Stochastic Optimization
— Unverified Reducing the Model Order of Deep Neural Networks Using Information Theory May 16, 2016 General Classification Network Pruning
— Unverified Barzilai-Borwein Step Size for Stochastic Gradient Descent May 13, 2016 Stochastic Optimization
Code Code Available Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction May 9, 2016 parameter estimation Sparse Learning
— Unverified Distributed stochastic optimization for deep learning (thesis) May 7, 2016 Deep Learning image-classification
— Unverified Algorithms for stochastic optimization with functional or expectation constraints Apr 13, 2016 Stochastic Optimization
— Unverified Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis Apr 7, 2016 Stochastic Optimization
— Unverified Katyusha: The First Direct Acceleration of Stochastic Gradient Methods Mar 18, 2016 Stochastic Optimization
— Unverified Without-Replacement Sampling for Stochastic Gradient Methods: Convergence Results and Application to Distributed Optimization Mar 2, 2016 Distributed Optimization Learning Theory
— Unverified Scalable Metric Learning via Weighted Approximate Rank Component Analysis Mar 1, 2016 Metric Learning Person Re-Identification
— Unverified Improved Dropout for Shallow and Deep Learning Feb 6, 2016 Deep Learning Stochastic Optimization
— Unverified Variance-Reduced and Projection-Free Stochastic Optimization Feb 5, 2016 Stochastic Optimization
— Unverified A Kronecker-factored approximate Fisher matrix for convolution layers Feb 3, 2016 Stochastic Optimization
Code Code Available On Deep Multi-View Representation Learning: Objectives and Optimization Feb 2, 2016 Representation Learning Stochastic Optimization
Code Code Available SCOPE: Scalable Composite Optimization for Learning on Spark Jan 30, 2016 Stochastic Optimization
Code Code Available Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization Dec 25, 2015 Stochastic Optimization
Code Code Available Efficient Distributed SGD with Variance Reduction Dec 9, 2015 Stochastic Optimization
— Unverified Variance Reduction for Distributed Stochastic Gradient Descent Dec 5, 2015 Stochastic Optimization
— Unverified Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care Dec 1, 2015 Stochastic Optimization
— Unverified A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer Dec 1, 2015 Image Segmentation Semantic Segmentation
— Unverified Local Smoothness in Variance Reduced Optimization Dec 1, 2015 Stochastic Optimization
— Unverified Fast Rates for Exp-concave Empirical Risk Minimization Dec 1, 2015 regression Stochastic Optimization
— Unverified Adaptive Stochastic Optimization: From Sets to Paths Dec 1, 2015 Stochastic Optimization
— Unverified Constant Time EXPected Similarity Estimation using Stochastic Optimization Nov 17, 2015 Anomaly Detection Stochastic Optimization
— Unverified Joint Training of Generic CNN-CRF Models with Stochastic Optimization Nov 16, 2015 Stochastic Optimization
— Unverified Large-Scale Approximate Kernel Canonical Correlation Analysis Nov 15, 2015 Representation Learning Stochastic Optimization
— Unverified 