SOTAVerified

Stochastic Optimization

Stochastic Optimization is the task of optimizing certain objective functional by generating and using stochastic random variables. Usually the Stochastic Optimization is an iterative process of generating random variables that progressively finds out the minima or the maxima of the objective functional. Stochastic Optimization is usually applied in the non-convex functional spaces where the usual deterministic optimization such as linear or quadratic programming or their variants cannot be used.

Source: ASOC: An Adaptive Parameter-free Stochastic Optimization Techinique for Continuous Variables

Papers

Showing 10511100 of 1387 papers

TitleStatusHype
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces0
Proximodistal Exploration in Motor Learning as an Emergent Property of Optimization0
Public-data Assisted Private Stochastic Optimization: Power and Limitations0
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization0
Quantization enabled Privacy Protection in Decentralized Stochastic Optimization0
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free0
Quantum Annealing for Dirichlet Process Mixture Models with Applications to Network Clustering0
Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence0
Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization0
Random gradient extrapolation for distributed and stochastic optimization0
Randomized Block Coordinate Descent for Online and Stochastic Optimization0
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis0
Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization0
α^α-Rank: Practically Scaling α-Rank through Stochastic Optimisation0
Realtime and Robust Hand Tracking from Depth0
Recht-Ré Noncommutative Arithmetic-Geometric Mean Conjecture is False0
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False0
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False0
Reducing the Model Order of Deep Neural Networks Using Information Theory0
Regret minimization in stochastic non-convex learning via a proximal-gradient approach0
Regret Minimization with Noisy Observations0
Reinforcement Learning Approaches for the Orienteering Problem with Stochastic and Dynamic Release Dates0
Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD0
Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning0
Representation of forward performance criteria with random endowment via FBSDE and application to forward optimized certainty equivalent0
Re-route Package Pickup and Delivery Planning with Random Demands0
Resampling Stochastic Gradient Descent Cheaply for Efficient Uncertainty Quantification0
Research on OPF control of three-phase four-wire low-voltage distribution network considering uncertainty0
Resilience-oriented Planning and Cost Allocation of Energy Storage Integrated with Soft Open Point Based on Resilience Insurance0
Adaptive pruning-based Newton's method for distributed learning0
Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications0
Rethinking learning rate schedules for stochastic optimization0
On the Overlooked Structure of Stochastic Gradients0
A Retrospective Approximation Approach for Smooth Stochastic Optimization0
Revisiting Distributed Synchronous SGD0
Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis0
Riemannian Bilevel Optimization0
Riemannian stochastic optimization methods avoid strict saddle points0
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds0
Risk-Adaptive Approaches to Stochastic Optimization: A Survey0
Risk-averse Stochastic Optimization for Farm Management Practices and Cultivar Selection Under Uncertainty0
Robust 6D Object Pose Estimation with Stochastic Congruent Sets0
Robust, Accurate Stochastic Optimization for Variational Inference0
Robust Generalized Method of Moments: A Finite Sample Viewpoint0
Robust and Sparse Regression in GLM by Stochastic Optimization0
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks0
Robust Distributed Optimization With Randomly Corrupted Gradients0
Robust Distribution Learning with Local and Global Adversarial Corruptions0
Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic0
Robust Modeling of Unknown Dynamical Systems via Ensemble Averaged Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AvaGradAccuracy81.24Unverified
2AdaShiftAccuracy81.12Unverified
3Adam (eps-adjusted)Accuracy81.04Unverified
4SGDAccuracy80.95Unverified
5AdamWAccuracy79.87Unverified
6AdaBoundAccuracy77.24Unverified
#ModelMetricClaimedVerifiedStatus
1Adam (eps-adjusted)Accuracy96.36Unverified
2AvaGradAccuracy96.2Unverified
3SGDAccuracy96.14Unverified
4AdaShiftAccuracy95.92Unverified
5AdamWAccuracy95.89Unverified
6AdaBoundAccuracy94.6Unverified
#ModelMetricClaimedVerifiedStatus
1SGD - cosine LR scheduleAccuracy95.55Unverified
2LookaheadAccuracy95.27Unverified
3SGDAccuracy95.23Unverified
4ADAMAccuracy94.84Unverified
#ModelMetricClaimedVerifiedStatus
1AvaGradTop 1 Accuracy76.51Unverified
2SGDTop 1 Accuracy75.99Unverified
3AdamWTop 1 Accuracy72.9Unverified
4AdaBoundTop 1 Accuracy72.01Unverified
#ModelMetricClaimedVerifiedStatus
1AdaBoundBit per Character (BPC)2.86Unverified
2AdaShiftBit per Character (BPC)1.27Unverified
3AdamWBit per Character (BPC)1.23Unverified
4AvaGradBit per Character (BPC)1.18Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet18Accuracy (max)86.85Unverified
2Resnet34Accuracy (max)86.14Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet18Accuracy (max)58.48Unverified
2Resnet34Accuracy (max)54.5Unverified
#ModelMetricClaimedVerifiedStatus
1SGDTop 5 Accuracy92.15Unverified
2LookaheadTop 1 Accuracy75.13Unverified
#ModelMetricClaimedVerifiedStatus
1LookaheadTop 1 Accuracy75.49Unverified
2SGDTop 1 Accuracy75.15Unverified
#ModelMetricClaimedVerifiedStatus
1BertAccuracy (max)93.99Unverified
#ModelMetricClaimedVerifiedStatus
1BertAccuracy (max)86.34Unverified
#ModelMetricClaimedVerifiedStatus
1MLPNLL0.05Unverified