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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)

MDPose: real-time multi-person pose estimation via mixture density model UAI 2023 Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach AAAI 2023 Mean Payoff Optimization for Systems of Periodic Service and Maintenance IJCAI 2023 Measuring and Mitigating Local Instability in Deep Neural Networks ACL 2023 Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning ICCV 2023 Measuring axiomatic soundness of counterfactual image models ICLR 2023 Measuring Pointwise 𝒱-Usable Information In-Context-ly EMNLP 2023 Measuring the Impact of Programming Language Distribution ICML 2023 Measuring the Instability of Fine-Tuning ACL 2023 Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models EMNLP 2023 Mechanic: A Learning Rate Tuner NeurIPS 2023 Mechanism Design for Collaborative Normal Mean Estimation NeurIPS 2023 Mechanistic Mode Connectivity ICML 2023 MeCo: Zero-Shot NAS with One Data and Single Forward Pass via Minimum Eigenvalue of Correlation NeurIPS 2023 Meek Separators and Their Applications in Targeted Causal Discovery NeurIPS 2023 MELTR: Meta Loss Transformer for Learning To Fine-Tune Video Foundation Models CVPR 2023 Membership Inference Attacks against Synthetic Data through Overfitting Detection AISTATS 2023 Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation EMNLP 2023 Memorization Capacity of Neural Networks with Conditional Computation ICLR 2023 Memorization-Dilation: Modeling Neural Collapse Under Noise ICLR 2023 Memory-Based Dual Gaussian Processes for Sequential Learning ICML 2023 Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning JMLR 2023 Memory-Constrained Algorithms for Convex Optimization NeurIPS 2023 Memory Efficient Optimizers with 4-bit States NeurIPS 2023 Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis CVPR 2023