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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)

Efficient and Modular Implicit Differentiation NeurIPS 2022 Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions NeurIPS 2022 Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability ALT 2022 Efficient and Optimal Fixed-Time Regret with Two Experts ALT 2022 Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs AISTATS 2022 Efficient and Robust Knowledge Graph Construction AACL 2022 Efficient and transferable adversarial examples from bayesian neural networks UAI 2022 Efficient Approximate Inference for Stationary Kernel on Frequency Domain ICML 2022 Efficient Architecture Search for Diverse Tasks NeurIPS 2022 Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits JMLR 2022 Efficient coding, channel capacity, and the emergence of retinal mosaics NeurIPS 2022 Efficient Compact Bilinear Pooling via Kronecker Product AAAI 2022 Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features ICLR 2022 Efficient Convex Optimization Requires Superlinear Memory COLT 2022 Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems AAAI 2022 Efficient Device Scheduling with Multi-Job Federated Learning AAAI 2022 Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity ICML 2022 Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization EMNLP 2022 Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems NeurIPS 2022 Efficient Hyper-parameter Search for Knowledge Graph Embedding ACL 2022 Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression AISTATS 2022 Efficient Inference for Dynamic Flexible Interactions of Neural Populations JMLR 2022 Efficient inference for dynamic topic modeling with large vocabularies UAI 2022 Efficient interventional distribution learning in the PAC framework AISTATS 2022 Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation NeurIPS 2022