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Stochastic Optimization

Papers archive 2025-07-28

archive papers tagged: 1,387 · with a code link: 337 · where Syntology ran a sample: 91 (75 with a run with no instrument failure, 16 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (91 of 1,387 tagged: 75 with a run with no instrument failure, 16 where every run was a failure of Syntology's instrument)

Page 13 of 14: papers 1,201 to 1,300 of 1,387, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• Stochastic Submodular Maximization: The Case of Coverage Functions
  5 Nov 2017 0 repositories listed
• Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression
  1 Nov 2017 0 repositories listed
• Accelerate RNN-based Training with Importance Sampling
  31 Oct 2017 0 repositories listed
• Adaptive Sampling Strategies for Stochastic Optimization
  30 Oct 2017 0 repositories listed
• Gradient Sparsification for Communication-Efficient Distributed Optimization
  26 Oct 2017 0 repositories listed
• Accelerated Reinforcement Learning
  23 Oct 2017 0 repositories listed
• Function Norms and Regularization in Deep Networks
  18 Oct 2017 0 repositories listed
• Convergence diagnostics for stochastic gradient descent with constant step size
  17 Oct 2017 0 repositories listed
• A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes
  13 Oct 2017 0 repositories listed
• Decentralized Online Learning with Kernels
  11 Oct 2017 0 repositories listed
• Stochastic Nonconvex Optimization with Large Minibatches
  25 Sep 2017 0 repositories listed
• Accelerating SGD for Distributed Deep-Learning Using Approximated Hessian Matrix
  15 Sep 2017 0 repositories listed
• A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds
  8 Sep 2017 0 repositories listed
• Causality-Aided Falsification
  8 Sep 2017 0 repositories listed
• A Convergence Analysis for A Class of Practical Variance-Reduction Stochastic Gradient MCMC
  4 Sep 2017 0 repositories listed
• Learning Implicit Generative Models Using Differentiable Graph Tests
  4 Sep 2017 0 repositories listed
• Hydroassets Portfolio Management for Intraday Electricity Trading from a Discrete Time Stochastic Optimization Perspective
  24 Aug 2017 0 repositories listed
• Weighted parallel SGD for distributed unbalanced-workload training system
  16 Aug 2017 0 repositories listed
• Non-stationary Stochastic Optimization under L_(p,q)-Variation Measures
  9 Aug 2017 0 repositories listed
• Stochastic Optimization with Bandit Sampling
  8 Aug 2017 0 repositories listed
• Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems
  5 Aug 2017 0 repositories listed
• Follow the Moving Leader in Deep Learning
  1 Aug 2017 0 repositories listed
• Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence
  1 Aug 2017 0 repositories listed
• Dynamic Stochastic Approximation for Multi-stage Stochastic Optimization
  11 Jul 2017 0 repositories listed
• Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos
  1 Jul 2017 0 repositories listed
• A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints
  25 Jun 2017 0 repositories listed
• Improved Optimization of Finite Sums with Minibatch Stochastic Variance Reduced Proximal Iterations
  21 Jun 2017 0 repositories listed
• A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization
  20 Jun 2017 0 repositories listed
• On the convergence of mirror descent beyond stochastic convex programming
  18 Jun 2017 0 repositories listed
• Stochastic Reformulations of Linear Systems: Algorithms and Convergence Theory
  4 Jun 2017 0 repositories listed
• Comments on the proof of adaptive submodular function minimization
  10 May 2017 0 repositories listed
• Accelerating Stochastic Gradient Descent For Least Squares Regression
  26 Apr 2017 0 repositories listed
• Stochastic Optimization from Distributed, Streaming Data in Rate-limited Networks
  25 Apr 2017 0 repositories listed
• Performance Limits of Stochastic Sub-Gradient Learning, Part II: Multi-Agent Case
  20 Apr 2017 0 repositories listed
• Importance Sampled Stochastic Optimization for Variational Inference
  19 Apr 2017 0 repositories listed
• Larger is Better: The Effect of Learning Rates Enjoyed by Stochastic Optimization with Progressive Variance Reduction
  17 Apr 2017 0 repositories listed
• Stochastic Primal Dual Coordinate Method with Non-Uniform Sampling Based on Optimality Violations
  21 Mar 2017 0 repositories listed
• Guaranteed Sufficient Decrease for Variance Reduced Stochastic Gradient Descent
  20 Mar 2017 0 repositories listed
• Incorporating statistical model error into the calculation of acceptability prices of contingent claims
  16 Mar 2017 0 repositories listed
• Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks
  13 Mar 2017 0 repositories listed
• Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization
  1 Mar 2017 0 repositories listed
• Learning to Optimize Neural Nets
  1 Mar 2017 0 repositories listed
• Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
  22 Feb 2017 0 repositories listed
• Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch-Prox
  21 Feb 2017 0 repositories listed
• Stochastic Canonical Correlation Analysis
  21 Feb 2017 0 repositories listed
• Revisiting Distributed Synchronous SGD
  19 Feb 2017 0 repositories listed
• Natasha: Faster Non-Convex Stochastic Optimization Via Strongly Non-Convex Parameter
  2 Feb 2017 0 repositories listed
• Communication-Efficient Algorithms for Decentralized and Stochastic Optimization
  14 Jan 2017 0 repositories listed
• Maximum Entropy Flow Networks
  12 Jan 2017 0 repositories listed
• Stochastic Multidimensional Scaling
  21 Dec 2016 0 repositories listed
• Asymptotic Optimality in Stochastic Optimization
  16 Dec 2016 0 repositories listed
• An empirical analysis of the optimization of deep network loss surfaces
  13 Dec 2016 0 repositories listed
• One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities
  1 Dec 2016 0 repositories listed
• Without-Replacement Sampling for Stochastic Gradient Methods
  1 Dec 2016 0 repositories listed
• Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling
  23 Nov 2016 0 repositories listed
• Optimal Learning for Stochastic Optimization with Nonlinear Parametric Belief Models
  22 Nov 2016 0 repositories listed
• Optimizing connection weights in neural networks using the whale optimization algorithm
  21 Nov 2016 0 repositories listed
• Scalable Adaptive Stochastic Optimization Using Random Projections
  21 Nov 2016 0 repositories listed
• Scalable Approximations for Generalized Linear Problems
  21 Nov 2016 0 repositories listed
• A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression
  18 Nov 2016 0 repositories listed
• Faster variational inducing input Gaussian process classification
  18 Nov 2016 0 repositories listed
• The Asset Liability Management problem of a nuclear operator : a numerical stochastic optimization approach
  15 Nov 2016 0 repositories listed
• Learning from Untrusted Data
  7 Nov 2016 0 repositories listed
• Asynchronous Stochastic Block Coordinate Descent with Variance Reduction
  29 Oct 2016 0 repositories listed
• Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach
  11 Oct 2016 0 repositories listed
• Boost K-Means
  8 Oct 2016 0 repositories listed
• Exact and Inexact Subsampled Newton Methods for Optimization
  27 Sep 2016 0 repositories listed
• Sooner than Expected: Hitting the Wall of Complexity in Evolution
  25 Sep 2016 0 repositories listed
• One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities
  23 Sep 2016 0 repositories listed
• Gray-box inference for structured Gaussian process models
  14 Sep 2016 0 repositories listed
• Stochastic Heavy Ball
  14 Sep 2016 0 repositories listed
• Stochastic Learning of Multi-Instance Dictionary for Earth Mover's Distance based Histogram Comparison
  3 Sep 2016 0 repositories listed
• Doubly stochastic large scale kernel learning with the empirical kernel map
  2 Sep 2016 0 repositories listed
• Data Dependent Convergence for Distributed Stochastic Optimization
  30 Aug 2016 0 repositories listed
• Learning Structured Predictors from Bandit Feedback for Interactive NLP
  1 Aug 2016 0 repositories listed
• Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization
  5 Jul 2016 0 repositories listed
• Accelerate Stochastic Subgradient Method by Leveraging Local Growth Condition
  4 Jul 2016 0 repositories listed
• Distributed stochastic optimization via matrix exponential learning
  3 Jun 2016 0 repositories listed
• Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification
  1 Jun 2016 0 repositories listed
• Simultaneous Clustering and Model Selection for Tensor Affinities
  1 Jun 2016 0 repositories listed
• Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks
  31 May 2016 0 repositories listed
• Stochastic Optimization for Large-scale Optimal Transport
  27 May 2016 0 repositories listed
• Faster Eigenvector Computation via Shift-and-Invert Preconditioning
  26 May 2016 0 repositories listed
• Effective Blind Source Separation Based on the Adam Algorithm
  25 May 2016 0 repositories listed
• NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization
  25 May 2016 0 repositories listed
• Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
  23 May 2016 0 repositories listed
• The Information-Collecting Vehicle Routing Problem: Stochastic Optimization for Emergency Storm Response
  18 May 2016 0 repositories listed
• Reducing the Model Order of Deep Neural Networks Using Information Theory
  16 May 2016 0 repositories listed
• Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction
  9 May 2016 0 repositories listed
• Distributed stochastic optimization for deep learning (thesis)
  7 May 2016 0 repositories listed
• Algorithms for stochastic optimization with functional or expectation constraints
  13 Apr 2016 0 repositories listed
• Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis
  7 Apr 2016 0 repositories listed
• Katyusha: The First Direct Acceleration of Stochastic Gradient Methods
  18 Mar 2016 0 repositories listed
• Without-Replacement Sampling for Stochastic Gradient Methods: Convergence Results and Application to Distributed Optimization
  2 Mar 2016 0 repositories listed
• Scalable Metric Learning via Weighted Approximate Rank Component Analysis
  1 Mar 2016 0 repositories listed
• Improved Dropout for Shallow and Deep Learning
  6 Feb 2016 0 repositories listed
• Variance-Reduced and Projection-Free Stochastic Optimization
  5 Feb 2016 0 repositories listed
• Efficient Distributed SGD with Variance Reduction
  9 Dec 2015 0 repositories listed
• Variance Reduction for Distributed Stochastic Gradient Descent
  5 Dec 2015 0 repositories listed
• A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer
  1 Dec 2015 0 repositories listed