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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
5,854
2000
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Papers (including subtopics)

Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients ICLR 2021 DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning AAAI 2021 Defense-Friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty WACV 2021 DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows CVPR 2021 DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization IJCAI 2021 Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning NeurIPS 2021 Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation CVPR 2021 Delving into Deep Imbalanced Regression ICML 2021 Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse AAAI 2021 Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract) AAAI 2021 Demystifying and Generalizing BinaryConnect NeurIPS 2021 Denoising Word Embeddings by Averaging in a Shared Space ACL 2021 Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset ICML 2021 Density of States Estimation for Out of Distribution Detection AISTATS 2021 Dependency Locality and Neural Surprisal as Predictors of Processing Difficulty: Evidence from Reading Times NAACL 2021 Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision Problems with Uncertainty AAAI 2021 De-randomizing MCMC dynamics with the diffusion Stein operator NeurIPS 2021 Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers ICML 2021 Descent-to-Delete: Gradient-Based Methods for Machine Unlearning ALT 2021 Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning NeurIPS 2021 Detecting English Speech in the Air Traffic Control Voice Communication Interspeech 2021 Detecting Rewards Deterioration in Episodic Reinforcement Learning ICML 2021 Detection and Analysis of Attention Errors in Sequence-to-Sequence Text-to-Speech Interspeech 2021 Detection of Signal in the Spiked Rectangular Models ICML 2021 Determinantal Beam Search ACL 2021