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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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'25

Papers (including subtopics)

AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness NeurIPS 2022 Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation AAAI 2022 A Multivariate Complexity Analysis of Qualitative Reasoning Problems IJCAI 2022 A mutually exciting latent space Hawkes process model for continuous-time networks UAI 2022 An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context NeurIPS 2022 An Algorithm for Learning Switched Linear Dynamics from Data NeurIPS 2022 An Algorithmic Introduction to Savings Circles AAAI 2022 Analogy-Guided Evolutionary Pretraining of Binary Word Embeddings AACL 2022 An Alternate Policy Gradient Estimator for Softmax Policies AISTATS 2022 Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation AISTATS 2022 Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev COLT 2022 Analysis of Stochastic Processes through Replay Buffers ICML 2022 Analytically Tractable Hidden-States Inference in Bayesian Neural Networks JMLR 2022 Analytical Reasoning of Text NAACL 2022 Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models ICLR 2022 Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation ICLR 2022 Analyzing and Mitigating Interference in Neural Architecture Search ICML 2022 Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective NeurIPS 2022 Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability NeurIPS 2022 Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation EMNLP 2022 Analyzing Wrap-Up Effects through an Information-Theoretic Lens ACL 2022 An Analysis of Ensemble Sampling NeurIPS 2022 An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation MIDL 2022 An Analytical Theory of Curriculum Learning in Teacher-Student Networks NeurIPS 2022 An Analytical Update Rule for General Policy Optimization ICML 2022