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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)

Text Counterfactuals via Latent Optimization and Shapley-Guided Search EMNLP 2021 TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models ACL 2021 The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy NeurIPS 2021 The balancing principle for parameter choice in distance-regularized domain adaptation NeurIPS 2021 The Base Measure Problem and its Solution AISTATS 2021 The Benefits of Implicit Regularization from SGD in Least Squares Problems NeurIPS 2021 The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021 The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition NeurIPS 2021 The Bethe and Sinkhorn Permanents of Low Rank Matrices and Implications for Profile Maximum Likelihood COLT 2021 The Blessings of Unlabeled Background in Untrimmed Videos CVPR 2021 The Causal Learning of Retail Delinquency AAAI 2021 The Complexity Landscape of Claim-Augmented Argumentation Frameworks AAAI 2021 The Complexity of Bayesian Network Learning: Revisiting the Superstructure NeurIPS 2021 The complexity of nonconvex-strongly-concave minimax optimization UAI 2021 The Complexity of Object Association in Multiple Object Tracking AAAI 2021 The Complexity of Sparse Tensor PCA NeurIPS 2021 The Connection Between Approximation, Depth Separation and Learnability in Neural Networks COLT 2021 The curious case of adversarially robust models: More data can help, double descend, or hurt generalization UAI 2021 The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes ACL 2021 The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers ICLR 2021 The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers EMNLP 2021 The DiCOVA 2021 Challenge — An Encoder-Decoder Approach for COVID-19 Recognition from Coughing Audio Interspeech 2021 The diffusion of scientific terms – tracing individuals’ influence in the history of science for English EMNLP 2021 The Dynamics of Gradient Descent for Overparametrized Neural Networks L4DC 2021 The Earth Mover’s Pinball Loss: Quantiles for Histogram-Valued Regression ICML 2021