Papers
Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels
Danial Dervovic, Michael Cashmore
Model selection for behavioral learning data and applications to contextual bandits
Julien Aubert, Louis Köhler, Luc Lehéricy et al.
Models That Are Interpretable But Not Transparent
Chudi Zhong, Panyu Chen, Cynthia Rudin
MODL: Multilearner Online Deep Learning
Antonios Valkanas, Boris N. Oreshkin, Mark Coates
Multi-Agent Credit Assignment with Pretrained Language Models
Wenhao Li, Dan Qiao, Baoxiang Wang et al.
Multi-agent Multi-armed Bandit Regret Complexity and Optimality
Mengfan Xu, Diego Klabjan
Multi-marginal Schrödinger Bridges with Iterative Reference Refinement
Yunyi Shen, Renato Berlinghieri, Tamara Broderick
Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion
Grigor Bezirganyan, Sana Sellami, Laure Berti-Equille et al.
Multi-Player Approaches for Dueling Bandits
Or Raveh, Junya Honda, Masashi Sugiyama
Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization
Daniil Tiapkin, Evgenii Chzhen, Gilles Stoltz
Natural Language Counterfactual Explanations for Graphs Using Large Language Models
Flavio Giorgi, Cesare Campagnano, Fabrizio Silvestri et al.
Near-Optimal Algorithm for Non-Stationary Kernelized Bandits
Shogo Iwazaki, Shion Takeno
Near-optimal algorithms for private estimation and sequential testing of collision probability
Robert Istvan Busa-Fekete, Umar Syed
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model
Zilong Deng, Simon Khan, Shaofeng Zou
Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning
Aya Kayal, Sattar Vakili, Laura Toni et al.
Near-Polynomially Competitive Active Logistic Regression
Yihan Zhou, Eric Price, Trung Nguyen
Neural Point Processes for Pixel-wise Regression
Chengzhi Shi, Gözde Özcan, Miquel Sirera Perelló et al.
New User Event Prediction Through the Lens of Causal Inference
Henry Yuchi, Shixiang Zhu, Li Dong et al.
Noise-Aware Differentially Private Variational Inference
Talal Alrawajfeh, Joonas Jälkö, Antti Honkela
Noisy Low-Rank Matrix Completion via Transformed $L_1$ Regularization and its Theoretical Properties
Kun Zhao, Jiayi Wang, Yifei Lou
Nonparametric Distributional Regression via Quantile Regression
Cheng Peng, Stan Uryasev
Nonparametric estimation of Hawkes processes with RKHSs
Anna Bonnet, Maxime Sangnier
Nonparametric Factor Analysis and Beyond
Yujia Zheng, Yang Liu, Jiaxiong Yao et al.
No-Regret Bayesian Optimization with Stochastic Observation Failures
Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie et al.