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

RENN: A Rule Embedding Enhanced Neural Network Framework for Temporal Knowledge Graph Completion COLING 2024 ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization NeurIPS 2024 Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas ICML 2024 RePair: Automated Program Repair with Process-based Feedback ACL 2024 RepAn: Enhanced Annealing through Re-parameterization CVPR 2024 Reparameterization invariance in approximate Bayesian inference NeurIPS 2024 Reparameterized Importance Sampling for Robust Variational Bayesian Neural Networks ICML 2024 Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling NeurIPS 2024 Reparameterized Variational Rejection Sampling AISTATS 2024 Repelling Random Walks ICLR 2024 Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma NeurIPS 2024 Replicable Learning of Large-Margin Halfspaces ICML 2024 Replicable Uniformity Testing NeurIPS 2024 RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content NeurIPS 2024 REPLUG: Retrieval-Augmented Black-Box Language Models NAACL 2024 RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems ICLR 2024 Representation Learning via Manifold Flattening and Reconstruction JMLR 2024 Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods AAAI 2024 Reproducibility of predictive networks for mouse visual cortex NeurIPS 2024 Reproduction & Benchmarking of German Text Simplification Systems COLING 2024 Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling ICML 2024 RepTor: Re-parameterizable Temporal Convolution for Keyword Spotting via Differentiable Kernel Search Interspeech 2024 Reranking Laws for Language Generation: A Communication-Theoretic Perspective NeurIPS 2024 Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation ACL 2024 Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization NeurIPS 2024