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)

Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies AAAI 2019 Towards Optimal Discrete Online Hashing with Balanced Similarity AAAI 2019 Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer AAAI 2019 Towards Practical Alternating Least-Squares for CCA NeurIPS 2019 Towards Programming the Radio Environment with Large Arrays of Inexpensive Antennas NSDI 2019 Towards Robust, Locally Linear Deep Networks ICLR 2019 Towards Robust ResNet: A Small Step but a Giant Leap IJCAI 2019 Towards Testing Monotonicity of Distributions Over General Posets COLT 2019 Towards the Data-driven System for Rhetorical Parsing of Russian Texts NAACL 2019 Towards Understanding Knowledge Distillation ICML 2019 Towards Understanding Regularization in Batch Normalization ICLR 2019 Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent AISTATS 2019 Towards Understanding the Importance of Shortcut Connections in Residual Networks NeurIPS 2019 Toward Understanding the Impact of Staleness in Distributed Machine Learning ICLR 2019 Toward Understanding the Importance of Noise in Training Neural Networks ICML 2019 Tracking Discrete and Continuous Entity State for Process Understanding NAACL 2019 Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization ICML 2019 Traditional and Heavy Tailed Self Regularization in Neural Network Models ICML 2019 Traffic Updates: Saying a Lot While Revealing a Little AAAI 2019 Trainable Decoding of Sets of Sequences for Neural Sequence Models ICML 2019 Train and Test Tightness of LP Relaxations in Structured Prediction JMLR 2019 Training Complex Models with Multi-Task Weak Supervision AAAI 2019 Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior CVPR 2019 Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability ICLR 2019 Training Neural Networks with Local Error Signals ICML 2019