A fast and simple modification of Newton's method helping to avoid saddle points Jun 2, 2020 Protein Folding Stochastic Optimization
Code Code Available Recht-Ré Noncommutative Arithmetic-Geometric Mean Conjecture is False Jun 2, 2020 Stochastic Optimization
— Unverified Online Stochastic Convex Optimization: Wasserstein Distance Variation Jun 2, 2020 Sociology Stochastic Optimization
— Unverified ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning Jun 1, 2020 BIG-bench Machine Learning Second-order methods
Code Code Available The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization Jun 1, 2020 Stochastic Optimization
— Unverified Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization May 31, 2020 BIG-bench Machine Learning Stochastic Optimization
— Unverified CoolMomentum: A Method for Stochastic Optimization by Langevin Dynamics with Simulated Annealing May 29, 2020 global-optimization Physical Simulations
Code Code Available Convergence Analysis of Riemannian Stochastic Approximation Schemes May 27, 2020 Stochastic Optimization
— Unverified Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping May 21, 2020 Stochastic Optimization
Code Code Available k-sums: another side of k-means May 19, 2020 Clustering Stochastic Optimization
Code Code Available Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems May 19, 2020 Stochastic Optimization
— Unverified Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs May 18, 2020 Experimental Design Stochastic Optimization
Code Code Available Scaling-up Distributed Processing of Data Streams for Machine Learning May 18, 2020 BIG-bench Machine Learning Stochastic Optimization
— Unverified An Analysis of the Adaptation Speed of Causal Models May 18, 2020 Meta-Learning Stochastic Optimization
Code Code Available Tiering as a Stochastic Submodular Optimization Problem May 16, 2020 Information Retrieval Retrieval
— Unverified S-ADDOPT: Decentralized stochastic first-order optimization over directed graphs May 15, 2020 Stochastic Optimization
Code Code Available Learning to Estimate Driver Drowsiness from Car Acceleration Sensors using Weakly Labeled Data May 12, 2020 Stochastic Optimization Weakly-supervised Learning
— Unverified Byzantine-Robust Decentralized Stochastic Optimization over Static and Time-Varying Networks May 12, 2020 Stochastic Optimization
Code Code Available Distributionally Robust Neural Networks May 1, 2020 L2 Regularization Natural Language Inference
Code Code Available Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach May 1, 2020 Stochastic Optimization
— Unverified Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging Apr 30, 2020 Deep Reinforcement Learning Machine Translation
— Unverified DS-FACTO: Doubly Separable Factorization Machines Apr 29, 2020 Recommendation Systems Stochastic Optimization
— Unverified Doubly-stochastic mining for heterogeneous retrieval Apr 23, 2020 Retrieval Stochastic Optimization
— Unverified Disjoint principal component analysis by constrained binary particle swarm optimization Apr 22, 2020 Stochastic Optimization
Code Code Available Stochastic gradient algorithms from ODE splitting perspective Apr 19, 2020 regression Stochastic Optimization
— Unverified Stochastic batch size for adaptive regularization in deep network optimization Apr 14, 2020 image-classification Image Classification
— Unverified Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective Apr 9, 2020 Federated Learning Stochastic Optimization
— Unverified Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder Apr 8, 2020 Protein Structure Prediction Stochastic Optimization
Code Code Available Convergence rates and approximation results for SGD and its continuous-time counterpart Apr 8, 2020 Stochastic Optimization
— Unverified Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning Apr 7, 2020 Deep Learning Stochastic Optimization
— Unverified Direct loss minimization algorithms for sparse Gaussian processes Apr 7, 2020 Computational Efficiency Gaussian Processes
Code Code Available Non-Convex Optimization via Non-Reversible Stochastic Gradient Langevin Dynamics Apr 6, 2020 Stochastic Optimization
— Unverified Stochastic Proximal Gradient Algorithm with Minibatches. Application to Large Scale Learning Models Mar 30, 2020 Stochastic Optimization
— Unverified Stochastic Flows and Geometric Optimization on the Orthogonal Group Mar 30, 2020 Metric Learning Reinforcement Learning
— Unverified Pipelined Backpropagation at Scale: Training Large Models without Batches Mar 25, 2020 Image Classification Stochastic Optimization
— Unverified A Unified Theory of Decentralized SGD with Changing Topology and Local Updates Mar 23, 2020 Stochastic Optimization
— Unverified Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks Mar 16, 2020 Stochastic Optimization
— Unverified Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP Mar 16, 2020 Diversity Stochastic Optimization
— Unverified On Hyper-parameter Tuning for Stochastic Optimization Algorithms Mar 4, 2020 Bayesian Optimization Evolutionary Algorithms
— Unverified Conjugate-gradient-based Adam for stochastic optimization and its application to deep learning Feb 29, 2020 Classification General Classification
— Unverified Affinity guided Geometric Semi-Supervised Metric Learning Feb 27, 2020 Metric Learning Riemannian optimization
— Unverified IRS-aided Large-Scale MIMO Systems with Passive Constant Envelope Precoding Feb 26, 2020 Stochastic Optimization
— Unverified Non-asymptotic bounds for stochastic optimization with biased noisy gradient oracles Feb 26, 2020 Stochastic Optimization
— Unverified Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning Feb 25, 2020 Causal Inference Meta-Learning
— Unverified Adversarial Radar Inference. From Inverse Tracking to Inverse Reinforcement Learning of Cognitive Radar Feb 22, 2020 Reinforcement Learning (RL) Stochastic Optimization
— Unverified Stochastic Optimization for Regularized Wasserstein Estimators Feb 20, 2020 Stochastic Optimization
— Unverified Progressive Identification of True Labels for Partial-Label Learning Feb 19, 2020 Partial Label Learning Stochastic Optimization
Code Code Available Weakly-supervised Multi-output Regression via Correlated Gaussian Processes Feb 19, 2020 Decision Making Gaussian Processes
— Unverified PolyFold: an interactive visual simulator for distance-based protein folding Feb 14, 2020 Protein Folding Protein Structure Prediction
Code Code Available PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees Feb 13, 2020 Gaussian Processes Generalization Bounds
Code Code Available 