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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)

Optimising Hearing Aid Fittings for Speech in Noise with a Differentiable Hearing Loss Model Interspeech 2021 Optimism in Reinforcement Learning with Generalized Linear Function Approximation ICLR 2021 Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth ICML 2021 Optimization Planning for 3D ConvNets ICML 2021 Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives JMLR 2021 Optimized auxiliary particle filters: adapting mixture proposals via convex optimization UAI 2021 Optimized Score Transformation for Consistent Fair Classification JMLR 2021 Optimizing a Supervised Classifier for a Difficult Language Identification Problem EACL 2021 Optimizing Black-box Metrics with Iterative Example Weighting ICML 2021 Optimizing Conditional Value-At-Risk of Black-Box Functions NeurIPS 2021 Optimizing Deeper Transformers on Small Datasets ACL 2021 Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD NeurIPS 2021 Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning ICLR 2021 Optimizing Optimizers: Regret-optimal gradient descent algorithms COLT 2021 Optimizing Percentile Criterion using Robust MDPs AISTATS 2021 Optimizing persistent homology based functions ICML 2021 Oracle Complexity in Nonsmooth Nonconvex Optimization NeurIPS 2021 Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure NeurIPS 2021 Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation ICML 2021 Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation ICML 2021 Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation AAAI 2021 Orientation Probabilistic Movement Primitives on Riemannian Manifolds CoRL 2021 Orthogonalizing Convolutional Layers with the Cayley Transform ICLR 2021 Orthogonal Over-Parameterized Training CVPR 2021 Orthogonal Projection Loss ICCV 2021