Papers
4,025 papers found
Measuring the robustness of Gaussian processes to kernel choice
William T. Stephenson, Soumya Ghosh, Tin D. Nguyen et al.
Metalearning Linear Bandits by Prior Update
Amit Peleg, Naama Pearl, Ron Meir
Meta Learning MDPs with linear transition models
Robert Müller, Aldo Pacchiano
Minimal Expected Regret in Linear Quadratic Control
Yassir Jedra, Alexandre Proutiere
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference
Amiremad Ghassami, Andrew Ying, Ilya Shpitser et al.
Minimax Optimization: The Case of Convex-Submodular
Arman Adibi, Aryan Mokhtari, Hamed Hassani
Mitigating Bias in Calibration Error Estimation
Rebecca Roelofs, Nicholas Cain, Jonathon Shlens et al.
MLDemon:Deployment Monitoring for Machine Learning Systems
Tony Ginart, Martin Jinye Zhang, James Zou
Mode estimation on matrix manifolds: Convergence and robustness
Hiroaki Sasaki, Jun-Ichiro Hirayama, Takafumi Kanamori
Model-agnostic out-of-distribution detection using combined statistical tests
Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn et al.
Model-free Policy Learning with Reward Gradients
Qingfeng Lan, Samuele Tosatto, Homayoon Farrahi et al.
Modeling Conditional Dependencies in Multiagent Trajectories
Yannick Rudolph, Ulf Brefeld
Modelling Non-Smooth Signals with Complex Spectral Structure
Wessel P. Bruinsma, Martin Tegnér, Richard E. Turner
Moment Matching Deep Contrastive Latent Variable Models
Ethan Weinberger, Nicasia Beebe-Wang, Su-In Lee
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
Guanghui Wang, Ming Yang, Lijun Zhang et al.
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
Alexander Bartler, Andre Bühler, Felix Wiewel et al.
Multi-armed Bandit Algorithm against Strategic Replication
Suho Shin, Seungjoon Lee, Jungseul Ok
Multi-class classification in nonparametric active learning
Boris Ndjia Njike, Xavier Siebert
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
Oskar Kviman, Harald Melin, Hazal Koptagel et al.
Multivariate Quantile Function Forecaster
Kelvin Kan, François-Xavier Aubet, Tim Januschowski et al.
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
Jiaxin Hu, Miaoyan Wang
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits
Yinglun Zhu, Julian Katz-Samuels, Robert Nowak
Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation
Yue Wu, Dongruo Zhou, Quanquan Gu
Nearly Optimal Algorithms for Level Set Estimation
Blake Mason, Lalit Jain, Subhojyoti Mukherjee et al.