Papers
4,025 papers found
Improving Quadrature for Constrained Integrands
Henry R. Chai, Roman Garnett
Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization
Jaime Roquero Gimenez, James Zou
Inferring Multidimensional Rates of Aging from Cross-Sectional Data
Emma Pierson, Pang Wei Koh, Tatsunori Hashimoto et al.
Infinite Task Learning in RKHSs
Romain Brault, Alex Lambert, Zoltan Szabo et al.
Interaction Detection with Bayesian Decision Tree Ensembles
Junliang Du, Antonio R. Linero
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks
Tengyuan Liang, James Stokes
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
Jean Feydy, Thibault Séjourné, François-Xavier Vialard et al.
Interpretable Almost-Exact Matching for Causal Inference
Awa Dieng, Yameng Liu, Sudeepa Roy et al.
Interpretable Cascade Classifiers with Abstention
Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre et al.
Interpreting Black Box Predictions using Fisher Kernels
Rajiv Khanna, Been Kim, Joydeep Ghosh et al.
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding
Nathan Kallus, Xiaojie Mao, Angela Zhou
Inverting Supervised Representations with Autoregressive Neural Density Models
Charlie Nash, Nate Kushman, Christopher K.I. Williams
Iterative Bayesian Learning for Crowdsourced Regression
Jungseul Ok, Sewoong Oh, Yunhun Jang et al.
KAMA-NNs: Low-dimensional Rotation Based Neural Networks
Krzysztof Choromanski, Aldo Pacchiano, Jeffrey Pennington et al.
Kernel Exponential Family Estimation via Doubly Dual Embedding
Bo Dai, Hanjun Dai, Arthur Gretton et al.
Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees
Jaime Roquero Gimenez, Amirata Ghorbani, James Zou
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
Arno Solin, Manon Kok
Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy
Qian Yu, Songze Li, Netanel Raviv et al.
Large-Margin Classification in Hyperbolic Space
Hyunghoon Cho, Benjamin DeMeo, Jian Peng et al.
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms
Mathieu Blondel, Andre Martins, Vlad Niculae
Learning Controllable Fair Representations
Jiaming Song, Pratyusha Kalluri, Aditya Grover et al.
Learning Determinantal Point Processes by Corrective Negative Sampling
Zelda Mariet, Mike Gartrell, Suvrit Sra
Learning Influence-Receptivity Network Structure with Guarantee
Ming Yu, Varun Gupta, Mladen Kolar
Learning Invariant Representations with Kernel Warping
Yingyi Ma, Vignesh Ganapathiraman, Xinhua Zhang
Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm
Nikos Kargas, Nicholas D. Sidiropoulos