conftrace_

Artificial Intelligence

72,274 papers (0 classified directly here)

Subtopics

Core AI (59,089) Learning Paradigms (14,108) Bayesian & Probabilistic (4,335)

Papers per year

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22
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14833
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Papers (including subtopics)

XBART: Accelerated Bayesian Additive Regression Trees AISTATS 2019
Towards Efficient Data Valuation Based on the Shapley Value AISTATS 2019
Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level AISTATS 2019
Infinite Task Learning in RKHSs AISTATS 2019
Markov Properties of Discrete Determinantal Point Processes AISTATS 2019
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features AISTATS 2019
Learning Rules-First Classifiers AISTATS 2019
Wasserstein regularization for sparse multi-task regression AISTATS 2019
Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes AISTATS 2019
Learning Influence-Receptivity Network Structure with Guarantee AISTATS 2019
Iterative Bayesian Learning for Crowdsourced Regression AISTATS 2019
Training a Spiking Neural Network with Equilibrium Propagation AISTATS 2019
Gain estimation of linear dynamical systems using Thompson Sampling AISTATS 2019
Calibrating Deep Convolutional Gaussian Processes AISTATS 2019
Adaptive Gaussian Copula ABC AISTATS 2019
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning AISTATS 2019
Truncated Back-propagation for Bilevel Optimization AISTATS 2019
Lifted Weight Learning of Markov Logic Networks Revisited AISTATS 2019
Causal Discovery in the Presence of Missing Data AISTATS 2019
Learning Tree Structures from Noisy Data AISTATS 2019
Deep learning with differential Gaussian process flows AISTATS 2019
Generalizing the theory of cooperative inference AISTATS 2019
A Geometric Perspective on the Transferability of Adversarial Directions AISTATS 2019
Non-linear process convolutions for multi-output Gaussian processes AISTATS 2019