Papers
Differentially Private Continual Release of Histograms and Related Queries
Monika Henzinger, A. R. Sricharan, Teresa Anna Steiner
Differentially Private Graph Data Release: Inefficiencies & Unfairness
Ferdinando Fioretto, Diptangshu Sen, Juba Ziani
Differentially Private Kernelized Contextual Bandits
Nikola Pavlovic, Sudeep Salgia, Qing Zhao
Differentially Private Range Queries with Correlated Input Perturbation
Prathamesh Dharangutte, Jie Gao, Ruobin Gong et al.
Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients
Yue Huang, Jiaojiao Zhang, Qing Ling
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints
Lingkai Kong, Yuanqi Du, Wenhao Mu et al.
Diffusion Models under Group Transformations
Haoye Lu, Spencer Szabados, Yaoliang Yu
Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI
Abhinav Agrawal, Justin Domke
Disentangling Interactions and Dependencies in Feature Attributions
Gunnar König, Eric Günther, Ulrike von Luxburg
Dissecting the Impact of Model Misspecification in Data-Driven Optimization
Adam N. Elmachtoub, Henry Lam, Haixiang Lan et al.
Distance Estimation for High-Dimensional Discrete Distributions
Kuldeep S. Meel, Gunjan Kumar, Yash Pote
Distributional Adversarial Loss
Saba Ahmadi, Siddharth Bhandari, Avrim Blum et al.
Distributional Counterfactual Explanations With Optimal Transport
Lei You, Lele Cao, Mattias Nilsson et al.
Distributional Off-policy Evaluation with Bellman Residual Minimization
Sungee Hong, Zhengling Qi, Raymond K. W. Wong
Distribution-Aware Mean Estimation under User-level Local Differential Privacy
Corentin Pla, Maxime Vono, Hugo Richard
Domain Adaptation and Entanglement: an Optimal Transport Perspective
Okan Koc, Alexander Soen, Chao-Kai Chiang et al.
Do Regularization Methods for Shortcut Mitigation Work As Intended?
Haoyang Hong, Ioanna Papanikolaou, Sonali Parbhoo
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
Houssam Zenati, Judith Abécassis, Julie Josse et al.
DPFL: Decentralized Personalized Federated Learning
Salma Kharrat, Marco Canini, Samuel Horváth
Dynamic DBSCAN with Euler Tour Sequences
Seiyun Shin, Ilan Shomorony, Peter Macgregor
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders
Christian Toth, Christian Knoll, Franz Pernkopf et al.
Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models
Haotian Ye, Himanshu Jain, Chong You et al.
Efficient Estimation of a Gaussian Mean with Local Differential Privacy
Kalinin Nikita, Lukas Steinberger
Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning
Gianluca Drappo, Arnaud Robert, Marcello Restelli et al.
Efficient Optimization Algorithms for Linear Adversarial Training
Antonio H. Ribeiro, Thomas B. Schön, Dave Zachariah et al.