Papers
938 papers found
Learnable uncertainty under Laplace approximations
Agustinus Kristiadi, Matthias Hein, Philipp Hennig
Learning and certification under instance-targeted poisoning
Ji Gao, Amin Karbasi, Mohammad Mahmoody
Learning in Multi-Player Stochastic Games
William Brown
Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging
Renato Lui Geh, Denis Deratani Mauá
Learning proposals for probabilistic programs with inference combinators
Sam Stites, Heiko Zimmermann, Hao Wu et al.
Learning to learn with Gaussian processes
Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
Leveraging probabilistic circuits for nonparametric multi-output regression
Zhongjie Yu, Mingye Zhu, Martin Trapp et al.
Lifted reasoning meets weighted model integration
Jonathan Feldstein, Vaishak Belle
Local explanations via necessity and sufficiency: unifying theory and practice
David S. Watson, Limor Gultchin, Ankur Taly et al.
LocalNewton: Reducing communication rounds for distributed learning
Vipul Gupta, Avishek Ghosh, Michał Dereziński et al.
Markov equivalence of max-linear Bayesian networks
Carlos Améndola, Benjamin Hollering, Seth Sullivant et al.
Matrix games with bandit feedback
Brendan O’Donoghue, Tor Lattimore, Ian Osband
Maximal ancestral graph structure learning via exact search
Kari Rantanen, Antti Hyttinen, Matti Järvisalo
Measuring data leakage in machine-learning models with Fisher information
Awni Hannun, Chuan Guo, Laurens van der Maaten
Minimax sample complexity for turn-based stochastic game
Qiwen Cui, Lin F. Yang
Min/max stability and box distributions
Michael Boratko, Javier Burroni, Shib Sankar Dasgupta et al.
Mixed variable Bayesian optimization with frequency modulated kernels
Changyong Oh, Efstratios Gavves, Max Welling
Modeling financial uncertainty with multivariate temporal entropy-based curriculums
Ramit Sawhney, Arnav Wadhwa, Ayush Mangal et al.
Most: multi-source domain adaptation via optimal transport for student-teacher learning
Tuan Nguyen, Trung Le, He Zhao et al.
Multi-output Gaussian Processes for uncertainty-aware recommender systems
Yinchong Yang, Florian Buettner
Multi-task and meta-learning with sparse linear bandits
Leonardo Cella, Massimiliano Pontil
Natural language adversarial defense through synonym encoding
Xiaosen Wang, Jin Hao, Yichen Yang et al.
Nearest neighbor search under uncertainty
Blake Mason, Ardhendu Tripathy, Robert Nowak
Neural markov logic networks
Giuseppe Marra, Ondřej Kuželka
Non-PSD matrix sketching with applications to regression and optimization
Zhili Feng, Fred Roosta, David P. Woodruff