Optimization
17,731 papers
Papers per year
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117
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377
337
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415
546
768
1,185
1,385
1,651
1,697
2,026
2,683
2,825
673
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Papers
On the Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size
JMLR 2023
On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data
CVPR 2023
On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures
ICML 2023
On the Importance of Denoising When Learning To Compress Images
WACV 2023
On the Initialization of Graph Neural Networks
ICML 2023
On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails
NeurIPS 2023
On the Lower Bound of Minimizing Polyak-Łojasiewicz functions
COLT 2023
On the Pareto Front of Multilingual Neural Machine Translation
NeurIPS 2023
On the Strategyproofness of the Geometric Median
AISTATS 2023
On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling
IJCAI 2023
On the Sublinear Regret of GP-UCB
NeurIPS 2023
On the Training Instability of Shuffling SGD with Batch Normalization
ICML 2023
On Tilted Losses in Machine Learning: Theory and Applications
JMLR 2023
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error
JMLR 2023
On Universal Portfolios with Continuous Side Information
AISTATS 2023
On User-Level Private Convex Optimization
ICML 2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
NeurIPS 2023
Open Problem: Is There a First-Order Method that Only Converges to Local Minimax Optima?
COLT 2023
Operation-Level Early Stopping for Robustifying Differentiable NAS
NeurIPS 2023
Operator Learning for Nonlinear Adaptive Control
L4DC 2023
OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution
AAAI 2023
Optimal and Fair Encouragement Policy Evaluation and Learning
NeurIPS 2023
Optimal and Private Learning from Human Response Data
AISTATS 2023
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning
NeurIPS 2023
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
ICLR 2023