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 10511075 of 1387 papers

TitleStatusHype
Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points0
Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms0
Zeroth-order Stochastic Compositional Algorithms for Risk-Aware Learning0
Stochastic Optimization with Non-stationary Noise: The Power of Moment Estimation0
Using Statistics to Automate Stochastic Optimization0
Convergence rates for the Adam optimizer0
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach0
A Latent Variational Framework for Stochastic Optimization0
A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration0
Accelerated Gradient Methods for Stochastic Optimization and Online Learning0
Accelerated Mini-batch Randomized Block Coordinate Descent Method0
Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization0
Accelerated Parameter-Free Stochastic Optimization0
Accelerated Randomized Coordinate Descent Algorithms for Stochastic Optimization and Online Learning0
Accelerated Reinforcement Learning0
Accelerate Stochastic Subgradient Method by Leveraging Local Growth Condition0
Accelerated zero-order SGD under high-order smoothness and overparameterized regime0
Accelerate RNN-based Training with Importance Sampling0
Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Inverse Problems0
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks0
Accelerating first order optimization algorithms0
Accelerating First-Order Optimization Algorithms0
Accelerating Minibatch Stochastic Gradient Descent using Typicality Sampling0
Accelerating SGD for Distributed Deep-Learning Using Approximated Hessian Matrix0
Accelerating Stochastic Gradient Descent For Least Squares Regression0
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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