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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)

gradSim: Differentiable simulation for system identification and visuomotor control ICLR 2021 Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech ICML 2021 Graph-based semi-supervised learning through the lens of safety UAI 2021 Graph Edit Networks ICLR 2021 Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks IJCAI 2021 Graph Gamma Process Linear Dynamical Systems AISTATS 2021 Graph Information Bottleneck for Subgraph Recognition ICLR 2021 GraphMix: Improved Training of GNNs for Semi-Supervised Learning AAAI 2021 Graph Neural Networks for Distributed Linear-Quadratic Control L4DC 2021 Graph Neural Networks with Adaptive Residual NeurIPS 2021 Graph Neural Networks with Local Graph Parameters NeurIPS 2021 GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training ICML 2021 Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers Interspeech 2021 Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification NeurIPS 2021 Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks UAI 2021 Graph-theoretic Properties of the Class of Phonological Neighbourhood Networks NAACL 2021 Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning ICLR 2021 Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence NeurIPS 2021 Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity ICLR 2021 Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization ACML 2021 Greybox Algorithm Configuration IJCAI 2021 Grounding inductive biases in natural images: invariance stems from variations in data NeurIPS 2021 Grounding Plural Phrases: Countering Evaluation Biases by Individuation NAACL 2021 Grounding Representation Similarity Through Statistical Testing NeurIPS 2021 Ground-Truth or DAER: Selective Re-Query of Secondary Information ICCV 2021