Papers
Computing epidemic metrics with edge differential privacy
George Z. Li, Dung Nguyen, Anil Vullikanti
Conditional Adjustment in a Markov Equivalence Class
Sara LaPlante, Emilija Perkovic
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies
Jonathan Colaço Carr, Prakash Panangaden, Doina Precup
Confident Feature Ranking
Bitya Neuhof, Yuval Benjamini
Conformal Contextual Robust Optimization
Yash P. Patel, Sahana Rayan, Ambuj Tewari
Conformalized Deep Splines for Optimal and Efficient Prediction Sets
Nathaniel Diamant, Ehsan Hajiramezanali, Tommaso Biancalani et al.
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection
Yujin Han, Mingwenchan Xu, Leying Guan
Consistency of Dictionary-Based Manifold Learning
Samson J. Koelle, Hanyu Zhang, Octavian-Vlad Murad et al.
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors
Teodora Popordanoska, Sebastian Gregor Gruber, Aleksei Tiulpin et al.
Consistent Hierarchical Classification with A Generalized Metric
Yuzhou Cao, Lei Feng, Bo An
Consistent Optimal Transport with Empirical Conditional Measures
Piyushi Manupriya, Rachit K. Das, Sayantan Biswas et al.
Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication
Hugo Richard, Etienne Boursier, Vianney Perchet
Contextual Bandits with Budgeted Information Reveal
Kyra Gan, Esmaeil Keyvanshokooh, Xueqing Liu et al.
Contextual Directed Acyclic Graphs
Ryan Thompson, Edwin V. Bonilla, Robert Kohn
Continual Domain Adversarial Adaptation via Double-Head Discriminators
Yan Shen, Zhanghexuan Ji, Chunwei Ma et al.
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games
Jing Dong, Baoxiang Wang, Yaoliang Yu
Coreset Markov chain Monte Carlo
Naitong Chen, Trevor Campbell
Corruption-Robust Offline Two-Player Zero-Sum Markov Games
Andi Nika, Debmalya Mandal, Adish Singla et al.
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning
Amey P. Pasarkar, Adji Bousso Dieng
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation
Qing En, Yuhong Guo
Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization
Bahador Rashidi, Kerrick Johnstonbaugh, Chao Gao
DAGnosis: Localized Identification of Data Inconsistencies using Structures
Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat et al.
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations
Mohan Wu, Martin Lysy
Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions
Ambrus Tamás, Szabolcs Szentpéteri, Balázs Csáji
Data-Driven Online Model Selection With Regret Guarantees
Chris Dann, Claudio Gentile, Aldo Pacchiano