conftrace_

stochastic optimization

1,137 papers

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SO

Co-occurring keywords · papers mentioning both

regret bound (172) non-convex optimization (141) variance reduction (138) online learning (132) multi-armed bandit (117) convex optimization (116) convergence rate (94) stochastic gradient descent (80) gradient descent (65) convergence analysis (53)

Papers

Ensemble sampling for linear bandits: small ensembles suffice NeurIPS 2024 Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NeurIPS 2024 Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization AAAI 2024 FastMAC: Stochastic Spectral Sampling of Correspondence Graph CVPR 2024 Fast Rates for Bandit PAC Multiclass Classification NeurIPS 2024 Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets NeurIPS 2024 Federated X-armed Bandit AAAI 2024 FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning NeurIPS 2024 f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization ICLR 2024 Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NeurIPS 2024 Fully Unconstrained Online Learning NeurIPS 2024 GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024 Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024 GGD: Grafting Gradient Descent JMLR 2024 Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NeurIPS 2024 Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization NeurIPS 2024 Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints NeurIPS 2024 Gradient-Variation Online Learning under Generalized Smoothness NeurIPS 2024 Great Minds Think Alike: The Universal Convergence Trend of Input Salience NeurIPS 2024 Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention AAAI 2024 High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024 High-probability complexity bounds for stochastic non-convex minimax optimization NeurIPS 2024 How Free is Parameter-Free Stochastic Optimization? ICML 2024 Improved Evolutionary Algorithms for Submodular Maximization with Cost Constraints IJCAI 2024 Improved Regret for Bandit Convex Optimization with Delayed Feedback NeurIPS 2024