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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

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

Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness NeurIPS 2024 Wasserstein distributionally robust regret-optimal control over infinite-horizon L4DC 2024 Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning NeurIPS 2024 Wasserstein Proximal Coordinate Gradient Algorithms JMLR 2024 Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement EMNLP 2024 Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models AAAI 2024 WaveMo: Learning Wavefront Modulations to See Through Scattering CVPR 2024 Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration ICLR 2024 Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation ICML 2024 WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection AAAI 2024 Weak Supervision Performance Evaluation via Partial Identification NeurIPS 2024 Weak-to-Strong Reasoning EMNLP 2024 Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models NeurIPS 2024 Weight Conditioning for Smooth Optimization of Neural Networks ECCV 2024 Weight decay induces low-rank attention layers NeurIPS 2024 Weighted Envy-Freeness for Submodular Valuations AAAI 2024 Weight-Entanglement Meets Gradient-Based Neural Architecture Search AutoML 2024 Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML NeurIPS 2024 Weight-Sharing Regularization AISTATS 2024 WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking NeurIPS 2024 What Algorithms can Transformers Learn? A Study in Length Generalization ICLR 2024 What Are the Odds? Language Models Are Capable of Probabilistic Reasoning EMNLP 2024 What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases NAACL 2024 What does automatic differentiation compute for neural networks? ICLR 2024 What does guidance do? A fine-grained analysis in a simple setting NeurIPS 2024