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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)

The Odds are Odd: A Statistical Test for Detecting Adversarial Examples ICML 2019 The Optimal Approximation Factor in Density Estimation COLT 2019 Theoretical Analysis of Adversarial Learning: A Minimax Approach NeurIPS 2019 Theoretical Analysis of Label Distribution Learning AAAI 2019 Theoretical guarantees for sampling and inference in generative models with latent diffusions COLT 2019 Theoretical Investigation of Generalization Bound for Residual Networks IJCAI 2019 Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning NeurIPS 2019 Theoretically Principled Trade-off between Robustness and Accuracy ICML 2019 Theory of Minds: Understanding Behavior in Groups through Inverse Planning AAAI 2019 The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control IJCAI 2019 The Price of Local Fairness in Multistage Selection IJCAI 2019 The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration IJCAI 2019 The Quest For "Always-On" Autonomous Mobile Robots IJCAI 2019 The Randomized Midpoint Method for Log-Concave Sampling NeurIPS 2019 The Rationality of Semantic Change ACL 2019 There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average ICLR 2019 The Relationship Between Agnostic Selective Classification, Active Learning and the Disagreement Coefficient JMLR 2019 The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling COLT 2019 The Role of Memory in Stochastic Optimization UAI 2019 The role of over-parametrization in generalization of neural networks ICLR 2019 The Singular Values of Convolutional Layers ICLR 2019 The spiked matrix model with generative priors NeurIPS 2019 The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares NeurIPS 2019 The Synthesis of XNOR Recurrent Neural Networks with Stochastic Logic NeurIPS 2019 The Thermodynamic Variational Objective NeurIPS 2019