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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)

Temporal Anomaly Detection: Calibrating the Surprise AAAI 2019 Tensor Decomposition for Multilayer Networks Clustering AAAI 2019 Tensorial Change Analysis Using Probabilistic Tensor Regression AAAI 2019 Tensor Monte Carlo: Particle Methods for the GPU era NeurIPS 2019 Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion AAAI 2019 Tensor Variable Elimination for Plated Factor Graphs ICML 2019 Testing a Minimalist Grammar Parser on Italian Relative Clause Asymmetries NAACL 2019 Testing Identity of Multidimensional Histograms COLT 2019 Testing Mixtures of Discrete Distributions COLT 2019 Testing Symmetric Markov Chains Without Hitting COLT 2019 Testing the Generalization Power of Neural Network Models across NLI Benchmarks ACL 2019 Test without Trust: Optimal Locally Private Distribution Testing AISTATS 2019 TexturePose: Supervising Human Mesh Estimation With Texture Consistency ICCV 2019 The 35th Uncertainty in Artificial Intelligence Conference: Preface UAI 2019 The advantages of multiple classes for reducing overfitting from test set reuse ICML 2019 The All-or-Nothing Phenomenon in Sparse Linear Regression COLT 2019 The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects ICML 2019 The Broad Optimality of Profile Maximum Likelihood NeurIPS 2019 The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data NeurIPS 2019 The Common-directions Method for Regularized Empirical Risk Minimization JMLR 2019 The Comparative Power of ReLU Networks and Polynomial Kernels in the Presence of Sparse Latent Structure ICLR 2019 The Complexity of Making the Gradient Small in Stochastic Convex Optimization COLT 2019 The Complexity of Model Checking Knowledge and Time IJCAI 2019 The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies NeurIPS 2019 The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure AAAI 2019