Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization Feb 13, 2020 Stochastic Optimization
Code Code Available A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance Feb 12, 2020 Stochastic Optimization
Code Code Available Stochastic Online Optimization using Kalman Recursion Feb 10, 2020 Stochastic Optimization
— Unverified A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima Feb 10, 2020 Stochastic Optimization
— Unverified Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter -- a Case Study Feb 7, 2020 Stochastic Optimization
— Unverified Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications Feb 6, 2020 Bayesian Inference BIG-bench Machine Learning
— Unverified Self-Directed Online Machine Learning for Topology Optimization Feb 4, 2020 BIG-bench Machine Learning Stochastic Optimization
Code Code Available A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control Jan 28, 2020 Stochastic Optimization
Code Code Available Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods Jan 24, 2020 Data Augmentation Image Classification
Code Code Available Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities Jan 22, 2020 BIG-bench Machine Learning Stochastic Optimization
— Unverified Dual Stochastic Natural Gradient Descent and convergence of interior half-space gradient approximations Jan 19, 2020 Stochastic Optimization
— Unverified Adaptive Stochastic Optimization Jan 18, 2020 BIG-bench Machine Learning Stochastic Optimization
— Unverified On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods Jan 17, 2020 Computational Efficiency Stochastic Optimization
— Unverified Efficient Debiased Evidence Estimation by Multilevel Monte Carlo Sampling Jan 14, 2020 Bayesian Inference Stochastic Optimization
— Unverified Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False Jan 1, 2020 Stochastic Optimization
— Unverified Self-Modulating Nonparametric Event-Tensor Factorization Jan 1, 2020 Point Processes Stochastic Optimization
— Unverified Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking Jan 1, 2020 Stochastic Optimization
— Unverified Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False Jan 1, 2020 Stochastic Optimization
— Unverified A Dynamic Sampling Adaptive-SGD Method for Machine Learning Dec 31, 2019 BIG-bench Machine Learning Stochastic Optimization
— Unverified Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization Dec 31, 2019 Management Reinforcement Learning
— Unverified Stochastic gradient-free descents Dec 31, 2019 Stochastic Optimization
— Unverified CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity Dec 24, 2019 Scheduling Stochastic Optimization
Code Code Available Zeroth-order Stochastic Compositional Algorithms for Risk-Aware Learning Dec 19, 2019 Stochastic Optimization
— Unverified Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection Dec 17, 2019 Community Detection Graph Embedding
Code Code Available Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more Dec 17, 2019 Stochastic Optimization
Code Code Available Complexity of Stochastic Dual Dynamic Programming Dec 16, 2019 Decision Making Reinforcement Learning
— Unverified From Reinforcement Learning to Optimal Control: A unified framework for sequential decisions Dec 7, 2019 reinforcement-learning Reinforcement Learning
— Unverified Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression Dec 5, 2019 regression Stochastic Optimization
— Unverified Lower Bounds for Non-Convex Stochastic Optimization Dec 5, 2019 Stochastic Optimization
— Unverified Domain-independent Dominance of Adaptive Methods Dec 4, 2019 image-classification Image Classification
Code Code Available Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization Dec 2, 2019 Stochastic Optimization
— Unverified Identifying Cognitive Radars -- Inverse Reinforcement Learning using Revealed Preferences Dec 1, 2019 reinforcement-learning Reinforcement Learning
— Unverified Thinning for Accelerating the Learning of Point Processes Dec 1, 2019 Point Processes Stochastic Optimization
— Unverified Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging Dec 1, 2019 Stochastic Optimization
— Unverified Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent Dec 1, 2019 Management Reinforcement Learning
— Unverified A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers Dec 1, 2019 Stochastic Optimization
— Unverified Online Structured Sparsity-based Moving Object Detection from Satellite Videos Nov 29, 2019 Moving Object Detection object-detection
— Unverified Learning Neural Search Policies for Classical Planning Nov 27, 2019 Stochastic Optimization
— Unverified ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems Nov 24, 2019 reinforcement-learning Reinforcement Learning
Code Code Available A Sub-sampled Tensor Method for Non-convex Optimization Nov 23, 2019 Stochastic Optimization
— Unverified Parameter-Free Locally Differentially Private Stochastic Subgradient Descent Nov 21, 2019 Stochastic Optimization
— Unverified Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Nov 20, 2019 Domain Generalization Natural Language Inference
Code Code Available Gamifying the Vehicle Routing Problem with Stochastic Requests Nov 14, 2019 Atari Games Decision Making
— Unverified Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression Nov 10, 2019 Multi-Task Learning Stochastic Optimization
— Unverified Community Detection for Power Systems Network Aggregation Considering Renewable Variability Nov 8, 2019 Community Detection Stochastic Optimization
— Unverified Continual Multi-task Gaussian Processes Oct 31, 2019 Bayesian Inference Continual Learning
Code Code Available Mixing of Stochastic Accelerated Gradient Descent Oct 31, 2019 Stochastic Optimization
— Unverified SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization Oct 31, 2019 Quantization Stochastic Optimization
— Unverified Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimization Oct 30, 2019 Stochastic Optimization
— Unverified Understanding the Role of Momentum in Stochastic Gradient Methods Oct 30, 2019 Stochastic Optimization
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