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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)

Locally Differentially-Private Randomized Response for Discrete Distribution Learning JMLR 2021 Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models NeurIPS 2021 Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards ICML 2021 Locally Valid and Discriminative Prediction Intervals for Deep Learning Models NeurIPS 2021 LocalNewton: Reducing communication rounds for distributed learning UAI 2021 Local policy search with Bayesian optimization NeurIPS 2021 Local SGD: Unified Theory and New Efficient Methods AISTATS 2021 Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels NeurIPS 2021 Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency AISTATS 2021 Local Temperature Scaling for Probability Calibration ICCV 2021 Logarithmic Regret for Reinforcement Learning with Linear Function Approximation ICML 2021 Logarithmic Regret in Feature-based Dynamic Pricing NeurIPS 2021 Logic Guided Genetic Algorithms (Student Abstract) AAAI 2021 Logistic Q-Learning AISTATS 2021 Log-Likelihood-Ratio Cost Function as Objective Loss for Speaker Verification Systems Interspeech 2021 LOHO: Latent Optimization of Hairstyles via Orthogonalization CVPR 2021 Longitudinal Deep Kernel Gaussian Process Regression AAAI 2021 Long-Span Summarization via Local Attention and Content Selection ACL 2021 Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis NeurIPS 2021 Loop Estimator for Discounted Values in Markov Reward Processes AAAI 2021 Loss function based second-order Jensen inequality and its application to particle variational inference NeurIPS 2021 Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search ICLR 2021 Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling ICML 2021 Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? ICML 2021 Low-Delay Speech Enhancement Using Perceptually Motivated Target and Loss Interspeech 2021