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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)

Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations AAAI 2024 Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products ICLR 2024 Enabling Few-Shot Learning with PID Control: A Layer Adaptive Optimizer ICML 2024 Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods IJCAI 2024 Encodings for Prediction-based Neural Architecture Search ICML 2024 End-to-end Conditional Robust Optimization UAI 2024 End-to-end Feature Selection Approach for Learning Skinny Trees AISTATS 2024 End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty UAI 2024 End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning AAAI 2024 End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames CVPR 2024 Energy-based Automated Model Evaluation ICLR 2024 Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining ICML 2024 Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations ICLR 2024 Energy-based Epistemic Uncertainty for Graph Neural Networks NeurIPS 2024 Energy-Guided Continuous Entropic Barycenter Estimation for General Costs NeurIPS 2024 Energy-guided Entropic Neural Optimal Transport ICLR 2024 Enforcing Constraints in RNA Secondary Structure Predictions: A Post-Processing Framework Based on the Assignment Problem ICML 2024 Enhanced Reverberation as Supervision for Unsupervised Speech Separation Interspeech 2024 Enhancing Adversarial Robustness in SNNs with Sparse Gradients ICML 2024 Enhancing Alignment using Curriculum Learning & Ranked Preferences EMNLP 2024 Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods IJCAI 2024 Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training COLING 2024 Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation COLING 2024 Enhancing Evolving Domain Generalization through Dynamic Latent Representations AAAI 2024 Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator IJCAI 2024