conftrace_

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

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Papers (including subtopics)

De-biasing Covariance-Regularized Discriminant Analysis IJCAI 2018
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes IJCAI 2018
Convergence Analysis of Gradient Descent for Eigenvector Computation IJCAI 2018
A Unified Analysis of Stochastic Momentum Methods for Deep Learning IJCAI 2018
Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis IJCAI 2018
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning IJCAI 2018
Bandit Online Learning on Graphs via Adaptive Optimization IJCAI 2018
Stochastic Fractional Hamiltonian Monte Carlo IJCAI 2018
A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization IJCAI 2018
Semi-Supervised Optimal Margin Distribution Machines IJCAI 2018
Online Kernel Selection via Incremental Sketched Kernel Alignment IJCAI 2018
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers IJCAI 2018
Deep Convolutional Neural Networks with Merge-and-Run Mappings IJCAI 2018
Robust Feature Selection on Incomplete Data IJCAI 2018
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization IJCAI 2018
Cost-aware Cascading Bandits IJCAI 2018
Fast Model Identification via Physics Engines for Data-Efficient Policy Search IJCAI 2018
Improving Deep Neural Network Sparsity through Decorrelation Regularization IJCAI 2018
Localized Incomplete Multiple Kernel k-means IJCAI 2018
Robust Multi-view Learning via Half-quadratic Minimization IJCAI 2018
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management IJCAI 2018
Discrete Factorization Machines for Fast Feature-based Recommendation IJCAI 2018
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback IJCAI 2018
Estimating Latent People Flow without Tracking Individuals IJCAI 2018
Power-law Distribution Aware Trust Prediction IJCAI 2018