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 751800 of 1387 papers

TitleStatusHype
Beyond variance reduction: Understanding the true impact of baselines on policy optimization0
ROOT-SGD: Sharp Nonasymptotics and Near-Optimal Asymptotics in a Single Algorithm0
Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum0
Variance-Reduced Splitting Schemes for Monotone Stochastic Generalized Equations0
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization0
Stochastic Hybrid Combining Design for Quantized Massive MIMO Systems0
Distributed Stochastic Optimization With Unbounded Subgradients Over Randomly Time-Varying Networks0
Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary MissionsCode1
Stochastic Optimization ForestsCode1
Variance Regularization for Accelerating Stochastic Optimization0
Conservative Stochastic Optimization with Expectation Constraints0
Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing0
Dynamic Resource Optimization for Decentralized Estimation in Energy Harvesting IoT Networks0
Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications0
Binary Search and First Order Gradient Based Method for Stochastic OptimizationCode0
Randomized Automatic DifferentiationCode1
Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic OptimizationCode0
Modeling Stochastic Microscopic Traffic Behaviors: a Physics Regularized Gaussian Process Approach0
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: Generalized Formulations0
A Global Stochastic Optimization Particle Filter AlgorithmCode0
A fully data-driven approach to minimizing CVaR for portfolio of assets via SGLD with discontinuous updating0
Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems0
Variable Selection via Thompson Sampling0
Sampling from a k-DPP without looking at all items0
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications0
Time-consistent conditional expectation under probability distortion0
Second-Order Information in Non-Convex Stochastic Optimization: Power and Limitations0
Advances in Asynchronous Parallel and Distributed Optimization0
A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions0
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of GradientsCode0
A Better Alternative to Error Feedback for Communication-Efficient Distributed LearningCode1
Precise expressions for random projections: Low-rank approximation and randomized Newton0
Personalized Federated Learning with Moreau EnvelopesCode1
Gradient Free Minimax Optimization: Variance Reduction and Faster Convergence0
Computing Large-Scale Matrix and Tensor Decomposition with Structured Factors: A Unified Nonconvex Optimization Perspective0
Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization0
Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting0
ACMo: Angle-Calibrated Moment Methods for Stochastic OptimizationCode0
Stochastic Optimization for Performative PredictionCode1
Disentangled Representation Learning and Generation with Manifold Optimization0
Kernel Distributionally Robust OptimizationCode1
Stochastic Gradient Langevin with Delayed Gradients0
Multiplicative noise and heavy tails in stochastic optimization0
Stochastic Saddle-Point Optimization for Wasserstein Barycenters0
Sparse recovery by reduced variance stochastic approximation0
Convergence of adaptive algorithms for weakly convex constrained optimization0
A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning0
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity0
UFO-BLO: Unbiased First-Order Bilevel Optimization0
Quadruply Stochastic Gaussian ProcessesCode1
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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