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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)

Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models NeurIPS 2021 Lower-Bounded Proper Losses for Weakly Supervised Classification ICML 2021 Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks NeurIPS 2021 Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries ICML 2021 Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions NeurIPS 2021 Low-Fidelity Video Encoder Optimization for Temporal Action Localization NeurIPS 2021 Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision ICML 2021 Low-Rank Constraints for Fast Inference in Structured Models NeurIPS 2021 Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems NeurIPS 2021 Low-Rank Generalized Linear Bandit Problems AISTATS 2021 Low-Rank Registration Based Manifolds for Convection-Dominated PDEs AAAI 2021 Low Resource Quadratic Forms for Knowledge Graph Embeddings EMNLP 2021 LQF: Linear Quadratic Fine-Tuning CVPR 2021 LSG-CPD: Coherent Point Drift With Local Surface Geometry for Point Cloud Registration ICCV 2021 LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning NeurIPS 2021 L-SVRG and L-Katyusha with Arbitrary Sampling JMLR 2021 Luna: Linear Unified Nested Attention NeurIPS 2021 Lyapunov-stable neural-network control RSS 2021 Machine Learning for Variance Reduction in Online Experiments NeurIPS 2021 Machine Translation Decoding beyond Beam Search EMNLP 2021 Machine Unlearning via Algorithmic Stability COLT 2021 Majorizing Measures, Sequential Complexities, and Online Learning COLT 2021 Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications NeurIPS 2021 Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets EMNLP 2021 Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths ICCV 2021