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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)

Comparing Machine Learning Techniques for Blood Glucose Forecasting Using Free-living and Patient Generated Data MLHC 2020 Comparing Objective Functions for Segmentation and Detection of Microaneurysms in Retinal Images MIDL 2020 Comparing Rewinding and Fine-tuning in Neural Network Pruning ICLR 2020 Comparisons Between Hamiltonian Monte Carlo and Maximum A Posteriori For A Bayesian Model For Apixaban Induction Dose & Dose Personalization MLHC 2020 Complementary-View Multiple Human Tracking AAAI 2020 Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval NeurIPS 2020 Complexity Guarantees for Polyak Steps with Momentum COLT 2020 Complexity of Computing the Shapley Value in Games with Externalities AAAI 2020 Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions ICML 2020 Complex Markov Logic Networks: Expressivity and Liftability UAI 2020 Compositional Explanations of Neurons NeurIPS 2020 Compositionality and Capacity in Emergent Languages ACL 2020 Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract) IJCAI 2020 Compositional uncertainty in deep Gaussian processes UAI 2020 Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network ICLR 2020 Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation ICML 2020 Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model ICML 2020 Computational Interpretations of Recency for the Choice of Referring Expressions in Discourse EMNLP 2020 Computationally Efficient and Versatile Framework for Joint Optimization of Blind Speech Separation and Dereverberation Interspeech 2020 Computation Reallocation for Object Detection ICLR 2020 Computing Equilibria in Binary Networked Public Goods Games AAAI 2020 Computing Superior Counter-Examples for Conformant Planning AAAI 2020 Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games AAAI 2020 Computing the Testing Error Without a Testing Set CVPR 2020 Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming NeurIPS 2020