Papers
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Francesco Croce, Sven Gowal, Thomas Brunner et al.
Evolving Curricula with Regret-Based Environment Design
Jack Parker-Holder, Minqi Jiang, Michael Dennis et al.
Exact Learning of Preference Structure: Single-peaked Preferences and Beyond
Sonja Kraiczy, Edith Elkind
Exact Optimal Accelerated Complexity for Fixed-Point Iterations
Jisun Park, Ernest K Ryu
Examining Scaling and Transfer of Language Model Architectures for Machine Translation
Biao Zhang, Behrooz Ghorbani, Ankur Bapna et al.
Exploiting Independent Instruments: Identification and Distribution Generalization
Sorawit Saengkyongam, Leonard Henckel, Niklas Pfister et al.
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
David M. Knigge, David W Romero, Erik J Bekkers
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
Yuanbang Liang, Jing Wu, Yu-Kun Lai et al.
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
Liang Zhang, Qiang Wu, Jun Shen et al.
Extended Unconstrained Features Model for Exploring Deep Neural Collapse
Tom Tirer, Joan Bruna
Extracting Latent State Representations with Linear Dynamics from Rich Observations
Abraham Frandsen, Rong Ge, Holden Lee
Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data
Umberto M Tomasini, Antonio Sclocchi, Matthieu Wyart
Fair and Fast k-Center Clustering for Data Summarization
Haris Angelidakis, Adam Kurpisz, Leon Sering et al.
Fair Generalized Linear Models with a Convex Penalty
Hyungrok Do, Preston Putzel, Axel S Martin et al.
Fairness Interventions as (Dis)Incentives for Strategic Manipulation
Xueru Zhang, Mohammad Mahdi Khalili, Kun Jin et al.
Fairness with Adaptive Weights
Junyi Chai, Xiaoqian Wang
Fair Representation Learning through Implicit Path Alignment
Changjian Shui, Qi Chen, Jiaqi Li et al.
Fast and Provable Nonconvex Tensor RPCA
Haiquan Qiu, Yao Wang, Shaojie Tang et al.
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
Ruize Gao, Jiongxiao Wang, Kaiwen Zhou et al.
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
Elvis Nava, John Z Zhang, Mike Yan Michelis et al.
Fast Composite Optimization and Statistical Recovery in Federated Learning
Yajie Bao, Michael Crawshaw, Shan Luo et al.
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
Aaron Mishkin, Arda Sahiner, Mert Pilanci
Faster Algorithms for Learning Convex Functions
Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao et al.
Faster Fundamental Graph Algorithms via Learned Predictions
Justin Chen, Sandeep Silwal, Ali Vakilian et al.