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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)

Out-of-Domain Generalization in Dynamical Systems Reconstruction ICML 2024 Out-of-Variable Generalisation for Discriminative Models ICLR 2024 OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024 Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection ECCV 2024 Overcome Noise and Bias: Segmentation-Aided Multi-Granularity Denoising and Debiasing for Enhanced Quarduples Extraction in Dialogue EMNLP 2024 Overcoming Brittleness in Pareto-Optimal Learning Augmented Algorithms NeurIPS 2024 Overcoming Common Flaws in the Evaluation of Selective Classification Systems NeurIPS 2024 Overcoming Saturation in Density Ratio Estimation by Iterated Regularization ICML 2024 Overcoming the Optimizer’s Curse: Obtaining Realistic Prescriptions from Neural Networks ICML 2024 Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models NAACL 2024 Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality NeurIPS 2024 Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent JMLR 2024 Over-Reasoning and Redundant Calculation of Large Language Models EACL 2024 OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models AAAI 2024 OxonFair: A Flexible Toolkit for Algorithmic Fairness NeurIPS 2024 P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering ICLR 2024 PAC-Bayes-Chernoff bounds for unbounded losses NeurIPS 2024 PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs AAAI 2024 PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models ICML 2024 PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning ICML 2024 PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NeurIPS 2024 PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models EMNLP 2024 PAC Prediction Sets Under Label Shift ICLR 2024 PairDistill: Pairwise Relevance Distillation for Dense Retrieval EMNLP 2024 PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect ICML 2024