Papers
4,025 papers found
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference
Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi
Can Probabilistic Feedback Drive User Impacts in Online Platforms?
Jessica Dai, Bailey Flanigan, Nika Haghtalab et al.
Categorical Generative Model Evaluation via Synthetic Distribution Coarsening
Florence Regol, Mark Coates
Causal Bandits with General Causal Models and Interventions
Zirui Yan, Dennis Wei, Dmitriy A Katz et al.
Causal Discovery under Off-Target Interventions
Davin Choo, Kirankumar Shiragur, Caroline Uhler
Causally Inspired Regularization Enables Domain General Representations
Olawale Salaudeen, Sanmi Koyejo
Causal Modeling with Stationary Diffusions
Lars Lorch, Andreas Krause, Bernhard Schölkopf
Causal Q-Aggregation for CATE Model Selection
Hui Lan, Vasilis Syrgkanis
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications
Jie Hu, Vishwaraj Doshi, Do Young Eun
Certified private data release for sparse Lipschitz functions
Konstantin Donhauser, Johan Lokna, Amartya Sanyal et al.
Classifier Calibration with ROC-Regularized Isotonic Regression
Eugène Berta, Francis Bach, Michael Jordan
Clustering Items From Adaptively Collected Inconsistent Feedback
Shubham Gupta, Peter W J Staar, Christian de Sainte Marie
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates
Ahmad Rammal, Kaja Gruntkowska, Nikita Fedin et al.
Communication-Efficient Federated Learning With Data and Client Heterogeneity
Hossein Zakerinia, Shayan Talaei, Giorgi Nadiradze et al.
Comparing Comparators in Generalization Bounds
Fredrik Hellström, Benjamin Guedj
Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints
Ahmet Alacaoglu, Stephen J Wright
Compression with Exact Error Distribution for Federated Learning
Mahmoud Hegazy, Rémi Leluc, Cheuk Ting Li et al.
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.