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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)

Increasing Iterate Averaging for Solving Saddle-Point Problems AAAI 2021 Incremental Beam Manipulation for Natural Language Generation EACL 2021 In-Database Regression in Input Sparsity Time ICML 2021 Independence-aware Advantage Estimation IJCAI 2021 Indexed Minimum Empirical Divergence for Unimodal Bandits NeurIPS 2021 Individual Fairness in Hindsight JMLR 2021 Individually Fair Gradient Boosting ICLR 2021 Individually Fair Rankings ICLR 2021 Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions ACL 2021 Inference for Network Regression Models with Community Structure ICML 2021 Inference In High-dimensional Single-Index Models Under Symmetric Designs JMLR 2021 Inference in Stochastic Epidemic Models via Multinomial Approximations AISTATS 2021 Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements ICCV 2021 Inference of causal effects when control variables are unknown UAI 2021 Inferring serial correlation with dynamic backgrounds ICML 2021 Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters AAAI 2021 Influence Estimation for Generative Adversarial Networks ICLR 2021 Influence Functions in Deep Learning Are Fragile ICLR 2021 Influence Patterns for Explaining Information Flow in BERT NeurIPS 2021 Information Bottleneck Approach to Spatial Attention Learning IJCAI 2021 Information Bottleneck Disentanglement for Identity Swapping CVPR 2021 Information-constrained optimization: can adaptive processing of gradients help? NeurIPS 2021 Information criteria for non-normalized models JMLR 2021 Information Directed Reward Learning for Reinforcement Learning NeurIPS 2021 Information Directed Sampling for Sparse Linear Bandits NeurIPS 2021