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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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828
3,646
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2000
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Papers (including subtopics)

MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations NeurIPS 2024 MESSI: Behavioral Testing of BGP Implementations NSDI 2024 Meta-Adapter for Self-Supervised Speech Models: A Solution to Low-Resource Speech Recognition Challenges COLING 2024 Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models COLING 2024 Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction ICLR 2024 MetaCURL: Non-stationary Concave Utility Reinforcement Learning NeurIPS 2024 MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning AAAI 2024 Meta-Evaluation of Sentence Simplification Metrics COLING 2024 MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters IJCAI 2024 MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map NeurIPS 2024 Meta Learning in Bandits within shared affine Subspaces AISTATS 2024 Meta-Learning Priors Using Unrolled Proximal Networks ICLR 2024 Meta-Learning Universal Priors Using Non-Injective Change of Variables NeurIPS 2024 Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy IJCAI 2024 Metalearning with Very Few Samples Per Task COLT 2024 MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration EMNLP 2024 Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning ICML 2024 Methods for recovering conditional independence graphs (Abstract Reprint) IJCAI 2024 Metric Flow Matching for Smooth Interpolations on the Data Manifold NeurIPS 2024 Metric Learning from Limited Pairwise Preference Comparisons UAI 2024 MFT: Long-Term Tracking of Every Pixel WACV 2024 MgNO: Efficient Parameterization of Linear Operators via Multigrid ICLR 2024 MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process ICLR 2024 MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence NeurIPS 2024 MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator IJCAI 2024