Statistical Learning

On the Complexity of Inductively Learning Guarded Clauses AAAI 2022 On the consistent estimation of optimal Receiver Operating Characteristic (ROC) curve NeurIPS 2022 On the data requirements of probing ACL 2022 On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood NeurIPS 2022 On the Epistemic Limits of Personalized Prediction NeurIPS 2022 On the Finite-Time Performance of the Knowledge Gradient Algorithm ICML 2022 On the generalization of learning algorithms that do not converge NeurIPS 2022 On the Identifiability of Nonlinear ICA: Sparsity and Beyond NeurIPS 2022 On the Impact of Spurious Correlation for Out-of-Distribution Detection AAAI 2022 On the Importance of Firth Bias Reduction in Few-Shot Classification ICLR 2022 On the inability of Gaussian process regression to optimally learn compositional functions NeurIPS 2022 On The Memory Complexity of Uniformity Testing COLT 2022 On the Optimization of Margin Distribution IJCAI 2022 On the relation between statistical learning and perceptual distances ICLR 2022 On the Robustness to Misspecification of α-posteriors and Their Variational Approximations JMLR 2022 On the Role of Channel Capacity in Learning Gaussian Mixture Models COLT 2022 On the Statistical Benefits of Curriculum Learning ICML 2022 On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL NeurIPS 2022 On the Utility of Prediction Sets in Human-AI Teams IJCAI 2022 On the well-spread property and its relation to linear regression COLT 2022 On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation ICML 2022 Opencpop: A High-Quality Open Source Chinese Popular Song Corpus for Singing Voice Synthesis Interspeech 2022 Optimal and instance-dependent guarantees for Markovian linear stochastic approximation COLT 2022 Optimal Clustering with Noisy Queries via Multi-Armed Bandit ICML 2022 Optimal Estimation of Policy Gradient via Double Fitted Iteration ICML 2022