Papers
Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization
Jelena Diakonikolas, Constantinos Daskalakis, Michael I. Jordan
Efficient Statistics for Sparse Graphical Models from Truncated Samples
Arnab Bhattacharyya, Rathin Desai, Sai Ganesh Nagarajan et al.
Entropy Partial Transport with Tree Metrics: Theory and Practice
Tam Le, Truyen Nguyen
Equitable and Optimal Transport with Multiple Agents
Meyer Scetbon, Laurent Meunier, Jamal Atif et al.
Evading the Curse of Dimensionality in Unconstrained Private GLMs
Shuang Song, Thomas Steinke, Om Thakkar et al.
Evaluating Model Robustness and Stability to Dataset Shift
Adarsh Subbaswamy, Roy Adams, Suchi Saria
Experimental Design for Regret Minimization in Linear Bandits
Andrew Wagenmaker, Julian Katz-Samuels, Kevin Jamieson
Explicit Regularization of Stochastic Gradient Methods through Duality
Anant Raj, Francis Bach
Exploiting Equality Constraints in Causal Inference
Chi Zhang, Carlos Cinelli, Bryant Chen et al.
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models
Jan Achterhold, Joerg Stueckler
Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features
Shingo Yashima, Atsushi Nitanda, Taiji Suzuki
Fair for All: Best-effort Fairness Guarantees for Classification
Anilesh Krishnaswamy, Zhihao Jiang, Kangning Wang et al.
False Discovery Rates in Biological Networks
Lu Yu, Tobias Kaufmann, Johannes Lederer
Fast Adaptation with Linearized Neural Networks
Wesley Maddox, Shuai Tang, Pablo Moreno et al.
Fast and Smooth Interpolation on Wasserstein Space
Sinho Chewi, Julien Clancy, Thibaut Le Gouic et al.
Faster Kernel Interpolation for Gaussian Processes
Mohit Yadav, Daniel Sheldon, Cameron Musco
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling
Setareh Ariafar, Zelda Mariet, Dana Brooks et al.
Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures
Fanghui Liu, Xiaolin Huang, Yingyi Chen et al.
Fast Statistical Leverage Score Approximation in Kernel Ridge Regression
Yifan Chen, Yun Yang
Federated f-Differential Privacy
Qinqing Zheng, Shuxiao Chen, Qi Long et al.
Federated Learning with Compression: Unified Analysis and Sharp Guarantees
Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari et al.
Federated Multi-armed Bandits with Personalization
Chengshuai Shi, Cong Shen, Jing Yang
Feedback Coding for Active Learning
Gregory Canal, Matthieu Bloch, Christopher Rozell
Fenchel-Young Losses with Skewed Entropies for Class-posterior Probability Estimation
Han Bao, Masashi Sugiyama
Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function
Ioannis Tsaknakis, Mingyi Hong