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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)

Adaptive Gradient-Based Meta-Learning Methods NeurIPS 2019 Adaptive Gradient Methods with Dynamic Bound of Learning Rate ICLR 2019 Adaptive Hashing for Model Counting UAI 2019 Adaptive Influence Maximization with Myopic Feedback NeurIPS 2019 Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes COLT 2019 Adaptively Truncating Backpropagation Through Time to Control Gradient Bias UAI 2019 Adaptive MCMC via Combining Local Samplers AISTATS 2019 Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional l1-Balls via Envelope Complexity AISTATS 2019 Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits ICML 2019 Adaptive Optimization Framework for Control of Multi-Agent Systems AAAI 2019 Adaptive Parameterization for Neural Dialogue Generation EMNLP 2019 Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization AAAI 2019 Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models AISTATS 2019 Adaptive Regret of Convex and Smooth Functions ICML 2019 Adaptive Scale-Invariant Online Algorithms for Learning Linear Models ICML 2019 Adaptive Sensor Placement for Continuous Spaces ICML 2019 Adaptive Sequence Submodularity NeurIPS 2019 Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection AAAI 2019 Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search ICML 2019 Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression ICCV 2019 Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization UAI 2019 Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality ICLR 2019 AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods ICLR 2019 A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery ICLR 2019 Adding Constraints to Bayesian Inverse Problems AAAI 2019