Papers
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Harmonizable mixture kernels with variational Fourier features
Zheyang Shen, Markus Heinonen, Samuel Kaski
Hierarchical Clustering for Euclidean Data
Moses Charikar, Vaggos Chatziafratis, Rad Niazadeh et al.
High Dimensional Inference in Partially Linear Models
Ying Zhu, Zhuqing Yu, Guang Cheng
Identifiability of Generalized Hypergeometric Distribution (GHD) Directed Acyclic Graphical Models
Gunwoong Park, Hyewon Park
Imitation-Regularized Offline Learning
Yifei Ma, Yu-Xiang Wang, Balakrishnan Narayanaswamy
Implicit Kernel Learning
Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh et al.
Improved Semi-Supervised Learning with Multiple Graphs
Krishnamurthy Viswanathan, Sushant Sachdeva, Andrew Tomkins et al.
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