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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)

Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems NeurIPS 2023 Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation ICML 2023 Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms IJCAI 2023 Compact and Optimal Deep Learning With Recurrent Parameter Generators WACV 2023 Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples EACL 2023 Competing against Adaptive Strategies in Online Learning via Hints AISTATS 2023 Competing Bandits in Time Varying Matching Markets L4DC 2023 Competing for Shareable Arms in Multi-Player Multi-Armed Bandits ICML 2023 Competitive Gradient Optimization ICML 2023 Competitive Physics Informed Networks ICLR 2023 Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition AAAI 2023 Complexity Analysis of a Countable-armed Bandit Problem ALT 2023 Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression CVPR 2023 Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning ICML 2023 Complexity of Derivative-Free Policy Optimization for Structured H_∞ Control NeurIPS 2023 Complexity of Efficient Outcomes in Binary-Action Polymatrix Games and Implications for Coordination Problems IJCAI 2023 Complexity of High-Dimensional Identity Testing with Coordinate Conditional Sampling COLT 2023 Complexity of Probabilistic Inference in Random Dichotomous Hedonic Games AAAI 2023 Complexity of Reasoning with Cardinality Minimality Conditions AAAI 2023 Complexity of Safety and coSafety Fragments of Linear Temporal Logic AAAI 2023 Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent NeurIPS 2023 Composable Coresets for Determinant Maximization: Greedy is Almost Optimal NeurIPS 2023 Composable Text Controls in Latent Space with ODEs EMNLP 2023 Composing Efficient, Robust Tests for Policy Selection UAI 2023 Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task NeurIPS 2023