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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)

Manifold GPLVMs for discovering non-Euclidean latent structure in neural data NeurIPS 2020 Manifold Identification for Ultimately Communication-Efficient Distributed Optimization ICML 2020 Margins are Insufficient for Explaining Gradient Boosting NeurIPS 2020 Mark-Evaluate: Assessing Language Generation using Population Estimation Methods COLING 2020 Markovian Score Climbing: Variational Inference with KL(p||q) NeurIPS 2020 Marthe: Scheduling the Learning Rate Via Online Hypergradients IJCAI 2020 MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking AAAI 2020 MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models UAI 2020 Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula NeurIPS 2020 Matrix Inference and Estimation in Multi-Layer Models NeurIPS 2020 Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles AAAI 2020 Maximizing the Spread of an Opinion in Few Steps: Opinion Diffusion in Non-Binary Networks IJCAI 2020 Maximum-and-Concatenation Networks ICML 2020 Maximum Margin Multi-Dimensional Classification AAAI 2020 Max-Margin Incremental CCG Parsing ACL 2020 Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View AAAI 2020 Measuring Linguistic Diversity During COVID-19 EMNLP 2020 Measuring Robustness to Natural Distribution Shifts in Image Classification NeurIPS 2020 Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications IJCAI 2020 Measuring the Reliability of Reinforcement Learning Algorithms ICLR 2020 Mechanism Design with Predicted Task Revenue for Bike Sharing Systems AAAI 2020 Median Matrix Completion: from Embarrassment to Optimality ICML 2020 MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning CVPR 2020 Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising CVPR 2020 Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control NeurIPS 2020