Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Analysis of Pronunciation Learning in End-to-End Speech Synthesis Interspeech 2019 Analysis of Quantized Models ICLR 2019 Analyzing Bayesian Crosslingual Transfer in Topic Models NAACL 2019 Analyzing Linguistic Complexity and Accuracy in Academic Language Development of German across Elementary and Secondary School ACL 2019 Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned ACL 2019 Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction ICCV 2019 An Analysis of Local Monotonic Attention Variants Interspeech 2019 An analytic theory of generalization dynamics and transfer learning in deep linear networks ICLR 2019 An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory JMLR 2019 An ASP Approach to Generate Minimal Countermodels in Intuitionistic Propositional Logic IJCAI 2019 An asymptotic analysis of distributed nonparametric methods JMLR 2019 An Automated Framework for Fast Cognate Detection and Bayesian Phylogenetic Inference in Computational Historical Linguistics ACL 2019 Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty ICCV 2019 A near-optimal algorithm for approximating the John Ellipsoid COLT 2019 A Necessary and Sufficient Stability Notion for Adaptive Generalization NeurIPS 2019 An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM CVPR 2019 An Efficient Two Step Algorithm for High Dimensional Change Point Regression Models Without Grid Search JMLR 2019 An Embedding Framework for Consistent Polyhedral Surrogates NeurIPS 2019 An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search NAACL 2019 An Empirical study of Binary Neural Networks' Optimisation ICLR 2019 An Empirical Study of Example Forgetting during Deep Neural Network Learning ICLR 2019 A neurally plausible model for online recognition and postdiction in a dynamical environment NeurIPS 2019 A Neurobiological Evaluation Metric for Neural Network Model Search CVPR 2019 An Evolution Strategy with Progressive Episode Lengths for Playing Games IJCAI 2019 A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal and Parameter-free COLT 2019