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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
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828
3,646
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2000
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Papers (including subtopics)

Contributions of Propositional Content and Syntactic Category Information in Sentence Processing NAACL 2021 Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks ACL 2021 Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation AAAI 2021 Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions AAAI 2021 Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning AISTATS 2021 Convergence and Alignment of Gradient Descent with Random Backpropagation Weights NeurIPS 2021 Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions UAI 2021 Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness JMLR 2021 Convergence of adaptive algorithms for constrained weakly convex optimization NeurIPS 2021 Convergence Properties of Stochastic Hypergradients AISTATS 2021 Convergence rates and approximation results for SGD and its continuous-time counterpart COLT 2021 Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance NeurIPS 2021 Converse, Focus and Guess - Towards Multi-Document Driven Dialogue AAAI 2021 Convex Aggregation for Opinion Summarization EMNLP 2021 Convex-Concave Min-Max Stackelberg Games NeurIPS 2021 Convex Geometry and Duality of Over-parameterized Neural Networks JMLR 2021 Convexified Graph Neural Networks for Distributed Control in Robotic Swarms IJCAI 2021 Convex Polytope Trees NeurIPS 2021 Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization ICLR 2021 Convex Regularization behind Neural Reconstruction ICLR 2021 Convex Regularization in Monte-Carlo Tree Search ICML 2021 Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments RSS 2021 ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation ICML 2021 Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training NeurIPS 2021 Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions COLT 2021