Papers
938 papers found
Flexible Approximate Inference via Stratified Normalizing Flows
Chris Cundy, Stefano Ermon
Flexible Prior Elicitation via the Prior Predictive Distribution
Marcelo Hartmann, Georgi Agiashvili, Paul Bürkner et al.
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks
Meet Vadera, Brian Jalaian, Benjamin Marlin
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits
Aurelien Bibaut, Antoine Chambaz, Mark Laan
GPIRT: A Gaussian Process Model for Item Response Theory
JBrandon Duck-Mayr, Roman Garnett, Jacob Montgomery
Graphical continuous Lyapunov models
Gherardo Varando, Niels Richard Hansen
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation
Alexander Lyzhov, Yuliya Molchanova, Arsenii Ashukha et al.
Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series
Hermanni Hälvä, Aapo Hyvarinen
High Dimensional Discrete Integration over the Hypergrid
Raj Kumar Maity, Arya Mazumdar, Soumyabrata Pal
How Private Are Commonly-Used Voting Rules?
Ao LIU, Yun Lu, Lirong Xia et al.
IDA with Background Knowledge
Zhuangyan Fang, Yangbo He
Identification and Estimation of Causal Effects Defined by Shift Interventions
Numair Sani, Jaron Lee, Ilya Shpitser
Improved Vector Pruning in Exact Algorithms for Solving POMDPs
Eric Hansen, Thomas Bowman
Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty
Hongjoon Ahn, Taesup Moon
Kernel Conditional Moment Test via Maximum Moment Restriction
Krikamol Muandet, Wittawat Jitkrittum, Jonas Kübler
Kidney Exchange with Inhomogeneous Edge Existence Uncertainty
hoda bidkhori, John Dickerson, Duncan McElfresh et al.
Lagrangian Decomposition for Neural Network Verification
Rudy Bunel, Alessandro De Palma, Alban Desmaison et al.
Layering-MCMC for Structure Learning in Bayesian Networks
Jussi Viinikka, Mikko Koivisto
Learning Behaviors with Uncertain Human Feedback
Xu He, Haipeng Chen, Bo An
Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect
Priyank Agrawal, Theja Tulabandula
Learning Intrinsic Rewards as a Bi-Level Optimization Problem
Bradly Stadie, Lunjun Zhang, Jimmy Ba
Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders
Sorawit Saengkyongam, Ricardo Silva
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi