Optimization
17,731 papers
Papers per year
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64
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117
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377
337
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415
546
768
1,185
1,385
1,651
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2,026
2,683
2,825
673
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Papers
On the Convergence of mSGD and AdaGrad for Stochastic Optimization
ICLR 2022
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging
AISTATS 2022
On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond
NeurIPS 2022
On the Convergence Rates of Policy Gradient Methods
JMLR 2022
On the Convergence Theory for Hessian-Free Bilevel Algorithms
NeurIPS 2022
On the Effectiveness of Iterative Learning Control
L4DC 2022
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions
ICML 2022
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
ICML 2022
On the Limitations of Stochastic Pre-processing Defenses
NeurIPS 2022
On the Optimality Gap of Warm-Started Hyperparameter Optimization
AutoML 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
ICML 2022
On the Optimization of Margin Distribution
IJCAI 2022
On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization
AISTATS 2022
On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method
AAAI 2022
On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract)
AAAI 2022
On the Robustness of Offensive Language Classifiers
ACL 2022
On the Role of Discount Factor in Offline Reinforcement Learning
ICML 2022
On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation
NeurIPS 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
NeurIPS 2022
On the Theoretical Properties of Noise Correlation in Stochastic Optimization
NeurIPS 2022
On Transportation of Mini-batches: A Hierarchical Approach
ICML 2022
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization
AISTATS 2022
OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion
NeurIPS 2022
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization
AutoML 2022
Operator-Potential Heuristics for Symbolic Search
AAAI 2022