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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)

Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy NeurIPS 2022 Graph-Coupled Oscillator Networks ICML 2022 GraphFM: Improving Large-Scale GNN Training via Feature Momentum ICML 2022 Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs EMNLP 2022 Graph Learning Assisted Multi-Objective Integer Programming NeurIPS 2022 Graph Neural Network Bandits NeurIPS 2022 Graph Neural Network Guided Local Search for the Traveling Salesperson Problem ICLR 2022 Graphon based Clustering and Testing of Networks: Algorithms and Theory ICLR 2022 Grassmann Stein Variational Gradient Descent AISTATS 2022 Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences JMLR 2022 Greedy modality selection via approximate submodular maximization UAI 2022 GreedyNASv2: Greedier Search With a Greedy Path Filter CVPR 2022 Greedy when Sure and Conservative when Uncertain about the Opponents ICML 2022 Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations EMNLP 2022 Group-Aware Threshold Adaptation for Fair Classification AAAI 2022 Group-based Interleaved Pipeline Parallelism for Large-scale DNN Training ICLR 2022 Group equivariant neural posterior estimation ICLR 2022 Group Wisdom at a Price: Jury Theorems with Costly Information IJCAI 2022 GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing ICML 2022 Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics NeurIPS 2022 Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation ICML 2022 Half-Inverse Gradients for Physical Deep Learning ICLR 2022 Handling Hard Affine SDP Shape Constraints in RKHSs JMLR 2022 Hard and Soft Evaluation of NLP models with BOOtSTrap SAmpling - BooStSa ACL 2022 Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model EMNLP 2022