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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)

Fast Inference from Transformers via Speculative Decoding ICML 2023 Fast Monocular Visual-Inertial Initialization Leveraging Learned Single-View Depth RSS 2023 Fast Neural Scene Flow ICCV 2023 Fast Nonlinear Vector Quantile Regression ICLR 2023 Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition JMLR 2023 Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics JMLR 2023 Fast Online Hashing with Multi-Label Projection AAAI 2023 Fast Online Node Labeling for Very Large Graphs ICML 2023 Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics NeurIPS 2023 Fast Partitioned Learned Bloom Filter NeurIPS 2023 Fast Point Cloud Generation With Straight Flows CVPR 2023 Fast Rates for Maximum Entropy Exploration ICML 2023 Fast Rates in Time-Varying Strongly Monotone Games ICML 2023 Fast Sampling of Diffusion Models with Exponential Integrator ICLR 2023 Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks AAAI 2023 Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models AISTATS 2023 FBLNet: FeedBack Loop Network for Driver Attention Prediction ICCV 2023 f-Divergence Minimization for Sequence-Level Knowledge Distillation ACL 2023 Feasible Recourse Plan via Diverse Interpolation AISTATS 2023 Feature Interactions Reveal Linguistic Structure in Language Models ACL 2023 Feature learning in deep classifiers through Intermediate Neural Collapse ICML 2023 Feature-Learning Networks Are Consistent Across Widths At Realistic Scales NeurIPS 2023 Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond NeurIPS 2023 Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples NeurIPS 2023 Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks ICLR 2023