Papers
938 papers found
Active multi-fidelity Bayesian online changepoint detection
Gregory W. Gundersen, Diana Cai, Chuteng Zhou et al.
Addressing fairness in classification with a model-agnostic multi-objective algorithm
Kirtan Padh, Diego Antognini, Emma Lejal-Glaude et al.
A decentralized policy gradient approach to multi-task reinforcement learning
Sihan Zeng, Malik Aqeel Anwar, Thinh T. Doan et al.
A heuristic for statistical seriation
Komal Dhull, Jingyan Wang, Nihar B. Shah et al.
A kernel two-sample test with selection bias
Alexis Bellot, Mihaela van der Schaar
A Nonmyopic Approach to Cost-Constrained Bayesian Optimization
Eric Hans Lee, David Eriksson, Valerio Perrone et al.
An optimization and generalization analysis for max-pooling networks
Alon Brutzkus, Amir Globerson
An unsupervised video game playstyle metric via state discretization
Chiu-Chou Lin, Wei-Chen Chiu, I-Chen Wu
Application of kernel hypothesis testing on set-valued data
Alexis Bellot, Mihaela van der Schaar
Approximate implication with d-separation
Batya Kenig
Approximation algorithm for submodular maximization under submodular cover
Naoto Ohsaka, Tatsuya Matsuoka
Asynchronous $ε$-Greedy Bayesian Optimisation
George De Ath, Richard M. Everson, Jonathan E. Fieldsend
A unifying framework for observer-aware planning and its complexity
Shuwa Miura, Shlomo Zilberstein
A variational approximation for analyzing the dynamics of panel data
Jurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant et al.
A weaker faithfulness assumption based on triple interactions
Alexander Marx, Arthur Gretton, Joris M. Mooij
Bandits with partially observable confounded data
Guy Tennenholtz, Uri Shalit, Shie Mannor et al.
Bayesian optimization for modular black-box systems with switching costs
Chi-Heng Lin, Joseph D. Miano, Eva L. Dyer
Bayesian streaming sparse Tucker decomposition
Shikai Fang, Robert M. Kirby, Shandian Zhe
BayLIME: Bayesian local interpretable model-agnostic explanations
Xingyu Zhao, Wei Huang, Xiaowei Huang et al.
Bias-corrected peaks-over-threshold estimation of the CVaR
Dylan Troop, Frédéric Godin, Jia Yuan Yu
Causal additive models with unobserved variables
Takashi Nicholas Maeda, Shohei Shimizu
Causal and interventional Markov boundaries
Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper
Certification of iterative predictions in Bayesian neural networks
Matthew Wicker, Luca Laurenti, Andrea Patane et al.
CLAIM: curriculum learning policy for influence maximization in unknown social networks
Dexun Li, Meghna Lowalekar, Pradeep Varakantham
Class balancing GAN with a classifier in the loop
Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu