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)

Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NeurIPS 2019 Characterizing the Sample Complexity of Pure Private Learners JMLR 2019 Characterizing Well-Behaved vs. Pathological Deep Neural Networks ICML 2019 Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group ICML 2019 CircConv: A Structured Convolution with Low Complexity AAAI 2019 Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs IJCAI 2019 Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation AAAI 2019 Class-Balanced Loss Based on Effective Number of Samples CVPR 2019 Classification of Semantic Paraphasias: Optimization of a Word Embedding Model NAACL 2019 Classification using margin pursuit AISTATS 2019 Classification with Label Distribution Learning IJCAI 2019 Classification with unknown class-conditional label noise on non-compact feature spaces COLT 2019 Clause Learning and New Bounds for Graph Coloring IJCAI 2019 Cleaning up the neighborhood: A full classification for adversarial partial monitoring ALT 2019 Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning EMNLP 2019 Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach AISTATS 2019 CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks AAAI 2019 CNN-LSTM Models for Multi-Speaker Source Separation Using Bayesian Hyper Parameter Optimization Interspeech 2019 CNNs found to jump around more skillfully than RNNs: Compositional Generalization in Seq2seq Convolutional Networks ACL 2019 Coarse-to-Fine Optimization for Speech Enhancement Interspeech 2019 Co-Generation with GANs using AIS based HMC NeurIPS 2019 Cognitive Deficit of Deep Learning in Numerosity AAAI 2019 Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting AAAI 2019 Collaborative Channel Pruning for Deep Networks ICML 2019 Collective Model Fusion for Multiple Black-Box Experts ICML 2019