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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)

Lipschitz-Certifiable Training with a Tight Outer Bound NeurIPS 2020 Lipschitz constant estimation of Neural Networks via sparse polynomial optimization ICLR 2020 Lipschitz Constrained Parameter Initialization for Deep Transformers ACL 2020 List-Decodable Mean Estimation via Iterative Multi-Filtering NeurIPS 2020 List Decodable Subspace Recovery COLT 2020 Local Context Normalization: Revisiting Local Normalization CVPR 2020 Local Deep Implicit Functions for 3D Shape CVPR 2020 Localized Learning of Robust Controllers for Networked Systems with Dynamic Topology L4DC 2020 Localizing and Amortizing: Efficient Inference for Gaussian Processes ACML 2020 Locally Differentially Private (Contextual) Bandits Learning NeurIPS 2020 Locally Private Hypothesis Selection COLT 2020 Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms NeurIPS 2020 Local Regularizer Improves Generalization AAAI 2020 Location Attention for Extrapolation to Longer Sequences ACL 2020 Logarithmic Pruning is All You Need NeurIPS 2020 Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems NeurIPS 2020 Logarithmic Regret for Adversarial Online Control ICML 2020 Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently ICML 2020 LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning IJCAI 2020 Logistic Regression for Massive Data with Rare Events ICML 2020 Logistic regression with peer-group effects via inference in higher-order Ising models AISTATS 2020 Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo COLT 2020 Long Document Ranking with Query-Directed Sparse Transformer EMNLP 2020 Lookahead: A Far-sighted Alternative of Magnitude-based Pruning ICLR 2020 Lookahead-Bounded Q-learning ICML 2020