Papers
Designing Transportable Experiments Under S-admissability
My Phan, David Arbour, Drew Dimmery et al.
Detection and Defense of Topological Adversarial Attacks on Graphs
Yingxue Zhang, Florence Regol, Soumyasundar Pal et al.
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain
Takahiro Mimori, Keiko Sasada, Hirotaka Matsui et al.
Differentiable Causal Discovery Under Unmeasured Confounding
Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky et al.
Differentiable Divergences Between Time Series
Mathieu Blondel, Arthur Mensch, Jean-Philippe Vert
Differentially Private Analysis on Graph Streams
Jalaj Upadhyay, Sarvagya Upadhyay, Raman Arora
Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints
Omid Sadeghi, Maryam Fazel
Differentially Private Online Submodular Maximization
Sebastian Perez Salazar, Rachel Cummings
Differentially Private Weighted Sampling
Edith Cohen, Ofir Geri, Tamas Sarlos et al.
Differentiating the Value Function by using Convex Duality
Sheheryar Mehmood, Peter Ochs
Direct Loss Minimization for Sparse Gaussian Processes
Yadi Wei, Rishit Sheth, Roni Khardon
Direct-Search for a Class of Stochastic Min-Max Problems
Sotirios-Konstantinos Anagnostidis, Aurelien Lucchi, Youssef Diouane
Dirichlet Pruning for Convolutional Neural Networks
Kamil Adamczewski, Mijung Park
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning
Hitesh Sapkota, Yiming Ying, Feng Chen et al.
Distribution Regression for Sequential Data
Maud Lemercier, Cristopher Salvi, Theodoros Damoulas et al.
Does Invariant Risk Minimization Capture Invariance?
Pritish Kamath, Akilesh Tangella, Danica Sutherland et al.
Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship
Abishek Sankararaman, Soumya Basu, Karthik Abinav Sankararaman
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation
Frederik Harder, Kamil Adamczewski, Mijung Park
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms
Tianyu Ding, Zhihui Zhu, Manolis Tsakiris et al.
Dynamic Cutset Networks
Chiradeep Roy, Tahrima Rahman, Hailiang Dong et al.
Efficient Balanced Treatment Assignments for Experimentation
David Arbour, Drew Dimmery, Anup Rao
Efficient Computation and Analysis of Distributional Shapley Values
Yongchan Kwon, Manuel A. Rivas, James Zou
Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension
Yiliang Zhang, Zhiqi Bu
Efficient Interpolation of Density Estimators
Paxton Turner, Jingbo Liu, Philippe Rigollet