Abstract is missing.
- Optimal Rates for Robust Stochastic Convex OptimizationChangyu Gao, Andrew Lowy, Xingyu Zhou, Stephen J. Wright 0001. [doi]
- Privacy-Computation Trade-Offs in Private Repetition and MetaselectionKunal Talwar. [doi]
- Hardness and Approximation Algorithms for Balanced Districting ProblemsPrathamesh Dharangutte, Jie Gao 0001, Shang-En Huang, Fang-Yi Yu. [doi]
- When Does a Predictor Know Its Own Loss?Aravind Gollakota, Parikshit Gopalan, Aayush Karan, Charlotte Peale, Udi Wieder. [doi]
- Mapping the Tradeoffs and Limitations of Algorithmic FairnessEtam Benger, Katrina Ligett. [doi]
- Kernel MultiaccuracyCarol Xuan Long, Wael Alghamdi, Alexander Glynn, Yixuan Wu, Flávio P. Calmon. [doi]
- Cost over Content: Information Choice in Trade (Extended Abstract)Kristóf Madarász, Marek Pycia. [doi]
- Private Estimation When Data and Privacy Demands Are CorrelatedSyomantak Chaudhuri, Thomas A. Courtade. [doi]
- Differential Privacy Under Multiple SelectionsAshish Goel, Zhihao Jiang, Aleksandra Korolova, Kamesh Munagala, Sahasrajit Sarmasarkar. [doi]
- Count on Your Elders: Laplace vs Gaussian NoiseJoel Daniel Andersson, Rasmus Pagh, Teresa Anna Steiner, Sahel Torkamani. [doi]
- Group Fairness and Multi-Criteria Optimization in School AssignmentSanthini K. A., Kamesh Munagala, Meghana Nasre, Govind S. Sankar. [doi]
- The Correlated Gaussian Sparse Histogram MechanismChristian Janos Lebeda, Lukas Retschmeier. [doi]
- Laplace Transform Interpretation of Differential PrivacyRishav Chourasia, Uzair Javaid, Biplab Sikdar 0001. [doi]
- Front Matter, Table of Contents, Preface, Conference Organization [doi]
- Near-Universally-Optimal Differentially Private Minimum Spanning TreesRichard Hladík, Jakub Tetek. [doi]
- Smooth Calibration and Decision MakingJason D. Hartline, Yifan Wu 0005, Yunran Yang. [doi]
- Differentially Private Sequential Learning (Extended Abstract)Yuxin Liu, M. Amin Rahimian. [doi]
- Differentially Private High-Dimensional Approximate Range Counting, RevisitedMartin Aumüller 0001, Fabrizio Boninsegna, Francesco Silvestri 0001. [doi]
- Infinitely Divisible Noise for Differential Privacy: Nearly Optimal Error in the High ε RegimeCharlie Harrison, Pasin Manurangsi. [doi]
- Debiasing Functions of Private Statistics in PostprocessingFlávio P. Calmon, Elbert Du, Cynthia Dwork, Brian Finley, Grigory Franguridi. [doi]
- Smooth Sensitivity Revisited: Towards OptimalityRichard Hladík, Jakub Tetek. [doi]
- Model Ensembling for Constrained OptimizationIra Globus-Harris, Varun Gupta 0006, Michael Kearns, Aaron Roth 0001. [doi]
- OWA for Bipartite AssignmentsJabari Hastings, Sigal Oren, Omer Reingold. [doi]
- Pessimism Traps and Algorithmic InterventionsAvrim Blum, Emily Diana, Kavya Ravichandran, Alexander Tolbert. [doi]