Papers
938 papers found
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
Arnab Mondal, Arnab Bhattacharjee, Sudipto Mukherjee et al.
Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects
Yue Liu, Zhuangyan Fang, Yangbo He et al.
Complete Dictionary Learning via $\ell_p$-norm Maximization
Yifei Shen, Ye Xue, Jun Zhang et al.
Complex Markov Logic Networks: Expressivity and Liftability
Ondrej Kuzelka
Compositional uncertainty in deep Gaussian processes
Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser et al.
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles
Joris M. Mooij, Tom Claassen
Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples
Saeed Vahidian, Baharan Mirzasoleiman, Alexander Cloninger
Deep Sigma Point Processes
Martin Jankowiak, Geoff Pleiss, Jacob Gardner
Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals
Noam Finkelstein, Ilya Shpitser
Differentially Private Small Dataset Release Using Random Projections
Lovedeep Gondara, Ke Wang
Differentially Private Top-k Selection via Stability on Unknown Domain
Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara et al.
Distortion estimates for approximate Bayesian inference
Hanwen Xing, Geoff Nicholls, Jeong (Kate) Lee
Divergence-Based Motivation for Online EM and Combining Hidden Variable Models
Ehsan Amid, Manfred K. Warmuth
Dueling Posterior Sampling for Preference-Based Reinforcement Learning
Ellen Novoseller, Yibing Wei, Yanan Sui et al.
Efficient Rollout Strategies for Bayesian Optimization
Eric Lee, David Eriksson, David Bindel et al.
EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices
Jun Ho Yoon, Seyoung Kim
Election Control by Manipulating Issue Significance
Andrew Estornell, Sanmay Das, Edith Elkind et al.
Estimation Rates for Sparse Linear Cyclic Causal Models
Jan-Christian Huetter, Philippe Rigollet
Evaluation of Causal Structure Learning Algorithms via Risk Estimation
Marco Eigenmann, Sach Mukherjee, Marloes Maathuis
Exploration Analysis in Finite-Horizon Turn-based Stochastic Games
Jialian Li, Yichi Zhou, Tongzheng Ren et al.
Fair Contextual Multi-Armed Bandits: Theory and Experiments
Yifang Chen, Alex Cuellar, Haipeng Luo et al.
Faster algorithms for Markov equivalence
Zhongyi Hu, Robin Evans
Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward
Jan Kretinsky, Fabian Michel, Lukas Michel et al.
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise
Yue Wang, Shaofeng Zou