Papers
A Statistical Analysis of Polyak-Ruppert Averaged Q-Learning
Xiang Li, Wenhao Yang, Jiadong Liang et al.
A Statistical Learning Take on the Concordance Index for Survival Analysis
Kevin Elgui, Alex Nowak, Geneviève Robin
A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets
Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi et al.
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments
Vincent Liu, Yash Chandak, Philip Thomas et al.
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture
Minh-Toan Nguyen, Romain Couillet
A Tale of Sampling and Estimation in Discounted Reinforcement Learning
Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space
Zhaozhuo Xu, Zhao Song, Anshumali Shrivastava
A Targeted Accuracy Diagnostic for Variational Approximations
Yu Wang, Mikolaj Kasprzak, Jonathan H. Huggins
A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement Learning
Xiaoyan Hu, Ho-Fung Leung
AUC-based Selective Classification
Andrea Pugnana, Salvatore Ruggieri
A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection
Xiangqian Sun, Cheuk Hang Leung, Yijun Li et al.
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery
Joshua C. Chang, Carson C. Chow, Julia Porcino
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
Kaiqi Zhao, Animesh Jain, Ming Zhao
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization
Yutong Dai, Guanyi Wang, Frank E. Curtis et al.
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders
Sung Jae Jun, Sokbae Lee
Average case analysis of Lasso under ultra sparse conditions
Koki Okajima, Xiangming Meng, Takashi Takahashi et al.
BaCaDI: Bayesian Causal Discovery with Unknown Interventions
Alexander Hägele, Jonas Rothfuss, Lars Lorch et al.
Balanced Off-Policy Evaluation for Personalized Pricing
Adam Elmachtoub, Vishal Gupta, Yunfan Zhao
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
Rayyan Ahmad Khan, Martin Kleinsteuber
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior
Yohan Jung, Jinkyoo Park
Bayesian Hierarchical Models for Counterfactual Estimation
Natraj Raman, Daniele Magazzeni, Sameena Shah
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings
Aryan Deshwal, Sebastian Ament, Maximilian Balandat et al.
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach
Syrine Belakaria, Janardhan Rao Doppa, Nicolo Fusi et al.
Bayesian Optimization with Conformal Prediction Sets
Samuel Stanton, Wesley Maddox, Andrew Gordon Wilson
Bayesian Strategy-Proof Facility Location via Robust Estimation
Emmanouil Zampetakis, Fred Zhang