probability estimation

$β^3$-IRT: A New Item Response Model and its Applications AISTATS 2019 Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural Networks NeurIPS 2019 HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering AAAI 2019 Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data AAAI 2019 Generalizing Tree Probability Estimation via Bayesian Networks NeurIPS 2018 Creak as a Feature of Lexical Stress in Estonian Interspeech 2017 On Calibration of Modern Neural Networks ICML 2017 Probability Calibration Trees ACML 2017 Differential Geometric Regularization for Supervised Learning of Classifiers ICML 2016 LocNet: Improving Localization Accuracy for Object Detection CVPR 2016 One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities NeurIPS 2016 Agnostic Insurability of Model Classes JMLR 2015 Calibrated Structured Prediction NeurIPS 2015 Fast Bidirectional Probability Estimation in Markov Models NeurIPS 2015 On the Accuracy of Self-Normalized Log-Linear Models NeurIPS 2015 Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NeurIPS 2013 On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation NeurIPS 2013 Optimal Probability Estimation with Applications to Prediction and Classification COLT 2013 Solving inverse problem of Markov chain with partial observations NeurIPS 2013 An Introduction to Artificial Prediction Markets for Classification JMLR 2012 Rare Probability Estimation under Regularly Varying Heavy Tails COLT 2012 Estimating Probabilities in Recommendation Systems AISTATS 2011 Evaluating probabilities under high-dimensional latent variable models NeurIPS 2008 Near-minimax recursive density estimation on the binary hypercube NeurIPS 2008 Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression JMLR 2007