Beyond variance reduction: Understanding the true impact of baselines on policy optimization Aug 31, 2020 Reinforcement Learning (RL) Stochastic Optimization
— Unverified 0ROOT-SGD: Sharp Nonasymptotics and Near-Optimal Asymptotics in a Single Algorithm Aug 28, 2020 Stochastic Optimization Unity
— Unverified 0Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum Aug 27, 2020 Diagnostic Stochastic Optimization
— Unverified 0Variance-Reduced Splitting Schemes for Monotone Stochastic Generalized Equations Aug 26, 2020 Stochastic Optimization
— Unverified 0Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Aug 25, 2020 Management Meta-Learning
— Unverified 0Stochastic Hybrid Combining Design for Quantized Massive MIMO Systems Aug 24, 2020 Quantization Stochastic Optimization
— Unverified 0Distributed Stochastic Optimization With Unbounded Subgradients Over Randomly Time-Varying Networks Aug 20, 2020 Stochastic Optimization
— Unverified 0Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions Aug 19, 2020 reinforcement-learning Reinforcement Learning
Code Code Available 1Stochastic Optimization Forests Aug 17, 2020 Decision Making Stochastic Optimization
Code Code Available 1Variance Regularization for Accelerating Stochastic Optimization Aug 13, 2020 Stochastic Optimization
— Unverified 0Conservative Stochastic Optimization with Expectation Constraints Aug 13, 2020 Matrix Completion Stochastic Optimization
— Unverified 0Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing Aug 8, 2020 Edge-computing Stochastic Optimization
— Unverified 0Dynamic Resource Optimization for Decentralized Estimation in Energy Harvesting IoT Networks Aug 4, 2020 Stochastic Optimization
— Unverified 0Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications Jul 27, 2020 Computational Efficiency Stochastic Optimization
— Unverified 0Binary Search and First Order Gradient Based Method for Stochastic Optimization Jul 27, 2020 Stochastic Optimization
Code Code Available 0Randomized Automatic Differentiation Jul 20, 2020 Stochastic Optimization Variational Inference
Code Code Available 1Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization Jul 20, 2020 Stochastic Optimization
Code Code Available 0Modeling Stochastic Microscopic Traffic Behaviors: a Physics Regularized Gaussian Process Approach Jul 17, 2020 Bayesian Inference Stochastic Optimization
— Unverified 0Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: Generalized Formulations Jul 14, 2020 BIG-bench Machine Learning State Estimation
— Unverified 0A Global Stochastic Optimization Particle Filter Algorithm Jul 9, 2020 Stochastic Optimization
Code Code Available 0A fully data-driven approach to minimizing CVaR for portfolio of assets via SGLD with discontinuous updating Jul 2, 2020 Stochastic Optimization
— Unverified 0Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems Jul 2, 2020 Stochastic Optimization
— Unverified 0Variable Selection via Thompson Sampling Jul 1, 2020 BIG-bench Machine Learning Interpretable Machine Learning
— Unverified 0Sampling from a k-DPP without looking at all items Jun 30, 2020 Active Learning All
— Unverified 0Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications Jun 26, 2020 Dimensionality Reduction Disentanglement
— Unverified 0Time-consistent conditional expectation under probability distortion Jun 25, 2020 Stochastic Optimization valid
— Unverified 0Second-Order Information in Non-Convex Stochastic Optimization: Power and Limitations Jun 24, 2020 Second-order methods Stochastic Optimization
— Unverified 0Advances in Asynchronous Parallel and Distributed Optimization Jun 24, 2020 Distributed Optimization Stochastic Optimization
— Unverified 0A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions Jun 23, 2020 Clustering Image Retrieval
— Unverified 0MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients Jun 21, 2020 Image Classification Machine Translation
Code Code Available 0A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning Jun 19, 2020 Federated Learning Stochastic Optimization
Code Code Available 1Precise expressions for random projections: Low-rank approximation and randomized Newton Jun 18, 2020 Dimensionality Reduction Stochastic Optimization
— Unverified 0Personalized Federated Learning with Moreau Envelopes Jun 16, 2020 Diversity Federated Learning
Code Code Available 1Gradient Free Minimax Optimization: Variance Reduction and Faster Convergence Jun 16, 2020 Stochastic Optimization
— Unverified 0Computing Large-Scale Matrix and Tensor Decomposition with Structured Factors: A Unified Nonconvex Optimization Perspective Jun 15, 2020 Stochastic Optimization Tensor Decomposition
— Unverified 0Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization Jun 12, 2020 Bayesian Inference Stochastic Optimization
— Unverified 0Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting Jun 12, 2020 Stochastic Optimization
— Unverified 0ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization Jun 12, 2020 BIG-bench Machine Learning Stochastic Optimization
Code Code Available 0Stochastic Optimization for Performative Prediction Jun 12, 2020 Prediction Stochastic Optimization
Code Code Available 1Disentangled Representation Learning and Generation with Manifold Optimization Jun 12, 2020 Disentanglement Representation Learning
— Unverified 0Kernel Distributionally Robust Optimization Jun 12, 2020 Stochastic Optimization
Code Code Available 1Stochastic Gradient Langevin with Delayed Gradients Jun 12, 2020 Stochastic Optimization
— Unverified 0Multiplicative noise and heavy tails in stochastic optimization Jun 11, 2020 Stochastic Optimization
— Unverified 0Stochastic Saddle-Point Optimization for Wasserstein Barycenters Jun 11, 2020 Stochastic Optimization
— Unverified 0Sparse recovery by reduced variance stochastic approximation Jun 11, 2020 Stochastic Optimization
— Unverified 0Convergence of adaptive algorithms for weakly convex constrained optimization Jun 11, 2020 Stochastic Optimization
— Unverified 0A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning Jun 8, 2020 Stochastic Optimization
— Unverified 0Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity Jun 8, 2020 Stochastic Optimization
— Unverified 0UFO-BLO: Unbiased First-Order Bilevel Optimization Jun 5, 2020 Adversarial Robustness Bilevel Optimization
— Unverified 0Quadruply Stochastic Gaussian Processes Jun 4, 2020 Gaussian Processes regression
Code Code Available 1