Optimization
17,731 papers
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Papers
Randomized Stochastic Gradient Descent Ascent
AISTATS 2022
Random Sharpness-Aware Minimization
NeurIPS 2022
Rapid Locomotion via Reinforcement Learning
RSS 2022
RCL: Recurrent Continuous Localization for Temporal Action Detection
CVPR 2022
RCP: Recurrent Closest Point for Point Cloud
CVPR 2022
Recovery and Generalization in Over-Realized Dictionary Learning
JMLR 2022
Recruitment Strategies That Take a Chance
NeurIPS 2022
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
AAAI 2022
Recurrent Variational Network: A Deep Learning Inverse Problem Solver Applied to the Task of Accelerated MRI Reconstruction
CVPR 2022
Recursive Reasoning in Minimax Games: A Level k Gradient Play Method
NeurIPS 2022
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
ICLR 2022
Reducing Flipping Errors in Deep Neural Networks
AAAI 2022
Re-evaluating Word Mover’s Distance
ICML 2022
Refining DNN-based Mask Estimation using CGMM-based EM Algorithm for Multi-channel Noise Reduction
Interspeech 2022
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
AISTATS 2022
Regret guarantees for model-based reinforcement learning with long-term average constraints
UAI 2022
Regret Minimization with Performative Feedback
ICML 2022
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
AAAI 2022
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games
NeurIPS 2022
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings
ICLR 2022
Reproducibility in Optimization: Theoretical Framework and Limits
NeurIPS 2022
Resampling Base Distributions of Normalizing Flows
AISTATS 2022
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(ε^-7/4)$ Complexity
ICML 2022
Restorable Image Operators with Quasi-Invertible Networks
AAAI 2022
Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust
EMNLP 2022