risk minimization

Deep Safe Multi-View Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase CVPR 2022 From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation ICLR 2022 Moment Distributionally Robust Tree Structured Prediction NeurIPS 2022 One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement NeurIPS 2022 On the Generalization Analysis of Adversarial Learning ICML 2022 Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization NeurIPS 2022 RoLNiP: Robust Learning Using Noisy Pairwise Comparisons ACML 2022 Spectral risk-based learning using unbounded losses AISTATS 2022 Classification with abstention but without disparities UAI 2021 Efficient Classification with Adaptive KNN AAAI 2021 Learning from Biased Data: A Semi-Parametric Approach ICML 2021 Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection IJCAI 2020 Performative Prediction ICML 2020 Real-Time Planning as Decision-Making under Uncertainty AAAI 2019 Variance-based Regularization with Convex Objectives JMLR 2019 Hinge-Minimax Learner for the Ensemble of Hyperplanes JMLR 2018 Variance-based Regularization with Convex Objectives NeurIPS 2017 Adversarial Multiclass Classification: A Risk Minimization Perspective NeurIPS 2016 Bipartite Ranking: a Risk-Theoretic Perspective JMLR 2016 Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers ACML 2016 StructED: Risk Minimization in Structured Prediction JMLR 2016 Structure-Blind Signal Recovery NeurIPS 2016 Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning AISTATS 2015 Bridging Viterbi and Posterior Decoding: A Generalized Risk Approach to Hidden Path Inference Based on Hidden Markov Models JMLR 2014 Elicitation and Identification of Properties COLT 2014