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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)

A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction ACL 2020 A PTAS for the Bayesian Thresholding Bandit Problem AISTATS 2020 A Quantile-based Approach for Hyperparameter Transfer Learning ICML 2020 A Quantum Computational Approach to Correspondence Problems on Point Sets CVPR 2020 A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent NeurIPS 2020 A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection NeurIPS 2020 AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation ICML 2020 A Reduction from Reinforcement Learning to No-Regret Online Learning AISTATS 2020 A Re-evaluation of Knowledge Graph Completion Methods ACL 2020 Are Germans Better Haters Than Danes? Language-Specific Implicit Prosodies of Types of Hate Speech and How They Relate to Perceived Severity and Societal Rules Interspeech 2020 A Regularization-Based Adaptive Test for High-Dimensional GLMs JMLR 2020 Are Transformers universal approximators of sequence-to-sequence functions? ICLR 2020 A Robust Functional EM Algorithm for Incomplete Panel Count Data NeurIPS 2020 A Rule for Gradient Estimator Selection, with an Application to Variational Inference AISTATS 2020 A Sample Complexity Separation between Non-Convex and Convex Meta-Learning ICML 2020 A Scalable Approach for Privacy-Preserving Collaborative Machine Learning NeurIPS 2020 A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees NeurIPS 2020 A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations PGM 2020 A shooting formulation of deep learning NeurIPS 2020 A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration NeurIPS 2020 A Simple and Efficient Tensor Calculus AAAI 2020 A simple normative network approximates local non-Hebbian learning in the cortex NeurIPS 2020 A Simple Online Algorithm for Competing with Dynamic Comparators UAI 2020 A simpler approach to accelerated optimization: iterative averaging meets optimism ICML 2020 A simple repair mechanism can alleviate computational demands of pragmatic reasoning: simulations and complexity analysis CoNLL 2020