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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)

Near-Optimal Learning and Planning in Separated Latent MDPs COLT 2024 Near-optimal Per-Action Regret Bounds for Sleeping Bandits AISTATS 2024 Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits AISTATS 2024 Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback ICML 2024 Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers AAAI 2024 Near-Optimal Solutions of Constrained Learning Problems ICLR 2024 Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD NeurIPS 2024 Needle In A Multimodal Haystack NeurIPS 2024 Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization EMNLP 2024 Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences IJCAI 2024 Negative Pre-aware for Noisy Cross-Modal Matching AAAI 2024 Neglected Hessian component explains mysteries in sharpness regularization NeurIPS 2024 NegoLog: An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment Components IJCAI 2024 NeoRL: Efficient Exploration for Nonepisodic RL NeurIPS 2024 NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration ECCV 2024 Nesterov acceleration despite very noisy gradients NeurIPS 2024 Nesting Particle Filters for Experimental Design in Dynamical Systems ICML 2024 Netcastle: Network Infrastructure Testing At Scale NSDI 2024 NetInfoF Framework: Measuring and Exploiting Network Usable Information ICLR 2024 Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms NeurIPS 2024 Neur2BiLO: Neural Bilevel Optimization NeurIPS 2024 Neur2RO: Neural Two-Stage Robust Optimization ICLR 2024 Neural Active Learning Beyond Bandits ICLR 2024 Neural Active Learning Meets the Partial Monitoring Framework UAI 2024 Neural Auto-designer for Enhanced Quantum Kernels ICLR 2024