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)

Shared Subspace Models for Multi-Group Covariance Estimation JMLR 2019
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals JMLR 2019
Fast Automatic Smoothing for Generalized Additive Models JMLR 2019
New Convergence Aspects of Stochastic Gradient Algorithms JMLR 2019
All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously JMLR 2019
Differentiable reservoir computing JMLR 2019
DPPy: DPP Sampling with Python JMLR 2019
Neural Empirical Bayes JMLR 2019
Model Selection in Bayesian Neural Networks via Horseshoe Priors JMLR 2019
Log-concave sampling: Metropolis-Hastings algorithms are fast JMLR 2019
Dynamic MRI Reconstruction with Motion-Guided Network MIDL 2019
Boundary loss for highly unbalanced segmentation MIDL 2019
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data MIDL 2019
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets MIDL 2019
MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty MIDL 2019
Learning beamforming in ultrasound imaging MIDL 2019
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping MLHC 2019
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series MLHC 2019
Using Contextual Information to Improve Blood Glucose Prediction MLHC 2019
Predicting Sick Patient Volume in a Pediatric Outpatient Setting using Time Series Analysis MLHC 2019
A Calibration Metric for Risk Scores with Survival Data MLHC 2019
Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series MLHC 2019
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records MLHC 2019
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation MLHC 2019
Parallelizable Stack Long Short-Term Memory NAACL 2019