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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)

Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains IJCAI 2019 Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition Interspeech 2019 Exploiting Worker Correlation for Label Aggregation in Crowdsourcing ICML 2019 Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs NeurIPS 2019 Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy IJCAI 2019 Exploring k out of Top ρ Fraction of Arms in Stochastic Bandits AISTATS 2019 Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019 Exploring Randomly Wired Neural Networks for Image Recognition ICCV 2019 Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization AISTATS 2019 Exponential Family Estimation via Adversarial Dynamics Embedding NeurIPS 2019 Exponentially convergent stochastic k-PCA without variance reduction NeurIPS 2019 Exponential Weights on the Hypercube in Polynomial Time AISTATS 2019 Expressive power of tensor-network factorizations for probabilistic modeling NeurIPS 2019 Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images NeurIPS 2019 Extending the E-Model Towards Super-Wideband and Fullband Speech Communication Scenarios Interspeech 2019 Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models AISTATS 2019 FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Distributed Neural Networks IJCAI 2019 Face-to-Parameter Translation for Game Character Auto-Creation ICCV 2019 Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery NeurIPS 2019 Fair Knapsack AAAI 2019 Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition ICCV 2019 Fairness-Aware Learning for Continuous Attributes and Treatments ICML 2019 Fairness risk measures ICML 2019 Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation UAI 2019 Fast Algorithm for Generalized Multinomial Models with Ranking Data ICML 2019