conftrace_
← Machine Learning
Machine Learning ›

Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

1
52
337
806
3400
3289
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Dual Inference for Machine Learning IJCAI 2017
SVD-free Convex-Concave Approaches for Nuclear Norm Regularization IJCAI 2017
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins IJCAI 2017
Incomplete Label Distribution Learning IJCAI 2017
Multi-Positive and Unlabeled Learning IJCAI 2017
Stochastic Online Anomaly Analysis for Streaming Time Series IJCAI 2017
Multiple Indefinite Kernel Learning for Feature Selection IJCAI 2017
Tensor Decomposition with Missing Indices IJCAI 2017
When Does Label Propagation Fail? A View from a Network Generative Model IJCAI 2017
A Robust Noise Resistant Algorithm for POI Identification from Flickr Data IJCAI 2017
Learning Co-Substructures by Kernel Dependence Maximization IJCAI 2017
Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization IJCAI 2017
Adaptive Manifold Regularized Matrix Factorization for Data Clustering IJCAI 2017
Robust Regression via Heuristic Hard Thresholding IJCAI 2017
Weighted Double Q-learning IJCAI 2017
Random Shifting for CNN: a Solution to Reduce Information Loss in Down-Sampling Layers IJCAI 2017
Hierarchical Feature Selection with Recursive Regularization IJCAI 2017
Deep Forest: Towards An Alternative to Deep Neural Networks IJCAI 2017
No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously IJCAI 2017
What to Do Next: Modeling User Behaviors by Time-LSTM IJCAI 2017
Cake Cutting: Envy and Truth IJCAI 2017
Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex IJCAI 2017
Playing Repeated Network Interdiction Games with Semi-Bandit Feedback IJCAI 2017
Modeling Physicians' Utterances to Explore Diagnostic Decision-making IJCAI 2017
Blue Skies: A Methodology for Data-Driven Clear Sky Modelling IJCAI 2017