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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Towards Better Plasticity-Stability Trade-Off in Incremental Learning: A Simple Linear Connector CVPR 2022 Towards Better Understanding Attribution Methods CVPR 2022 Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence CVPR 2022 Towards Bridging Sample Complexity and Model Capacity AAAI 2022 Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty ACL 2022 Towards Consistency in Adversarial Classification NeurIPS 2022 Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective ICLR 2022 Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality ICLR 2022 Towards Efficient and Scalable Sharpness-Aware Minimization CVPR 2022 Towards Empirical Sandwich Bounds on the Rate-Distortion Function ICLR 2022 Towards Error-Resilient Neural Speech Coding Interspeech 2022 Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods ICML 2022 Towards Evaluating the Robustness of Neural Networks Learned by Transduction ICLR 2022 Towards Fully Sparse Training: Information Restoration with Spatial Similarity AAAI 2022 Towards General Function Approximation in Zero-Sum Markov Games ICLR 2022 Towards IID representation learning and its application on biomedical data MIDL 2022 Towards Improving Calibration in Object Detection Under Domain Shift NeurIPS 2022 Towards Joint Intent Detection and Slot Filling via Higher-order Attention IJCAI 2022 Towards Learning Universal Hyperparameter Optimizers with Transformers NeurIPS 2022 Towards Model Agnostic Federated Learning Using Knowledge Distillation ICLR 2022 Towards New Optimized Artificial Immune Recognition Systems under the Belief Function Theory IJCAI 2022 Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent ICML 2022 Towards Optimal Communication Complexity in Distributed Non-Convex Optimization NeurIPS 2022 Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment NeurIPS 2022 Towards painless policy optimization for constrained MDPs UAI 2022