Papers
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels
Da Long, Wei Xing, Aditi Krishnapriyan et al.
Equivalence Testing: The Power of Bounded Adaptivity
Diptarka Chakraborty, Sourav Chakraborty, Gunjan Kumar et al.
Equivariant bootstrapping for uncertainty quantification in imaging inverse problems
Marcelo Pereyra, Julián Tachella
Error bounds for any regression model using Gaussian processes with gradient information
Rafael Savvides, Hoang Phuc Hau Luu, Kai Puolamäki
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression
Sijin Chen, Zhize Li, Yuejie Chi
Estimating treatment effects from single-arm trials via latent-variable modeling
Manuel Haussmann, Tran Minh Son Le, Viivi Halla-aho et al.
Estimation of partially known Gaussian graphical models with score-based structural priors
Martín Sevilla, Antonio G. Marques, Santiago Segarra
Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games
Weichen Li, Rati Devidze, Waleed Mustafa et al.
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers
Pim de Haan, Taco Cohen, Johann Brehmer
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers
Yuya Yoshikawa, Tomoharu Iwata
Exploration via linearly perturbed loss minimisation
David Janz, Shuai Liu, Alex Ayoub et al.
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
Chendi Qian, Didier Chételat, Christopher Morris
Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks
Marcus A. K. September, Francesco Sanna Passino, Leonie Goldmann et al.
Extragradient Type Methods for Riemannian Variational Inequality Problems
Zihao Hu, Guanghui Wang, Xi Wang et al.
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent
Pratik Patil, Yuchen Wu, Ryan Tibshirani
Fair k-center Clustering with Outliers
Daichi Amagata
Fair Machine Unlearning: Data Removal while Mitigating Disparities
Alex Oesterling, Jiaqi Ma, Flavio Calmon et al.
Fairness in Submodular Maximization over a Matroid Constraint
Marwa El Halabi, Jakub Tarnawski, Ashkan Norouzi-Fard et al.
FairRR: Pre-Processing for Group Fairness through Randomized Response
Joshua John Ward, Xianli Zeng, Guang Cheng
Fair Soft Clustering
Rune D. Kjærsgaard, Pekka Parviainen, Saket Saurabh et al.
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes
Jinwon Sohn, Qifan Song, Guang Lin
Faithful graphical representations of local independence
Søren W. Mogensen
FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning
Xiang Meng, Wenyu Chen, Riade Benbaki et al.
Fast 1-Wasserstein distance approximations using greedy strategies
Guillaume Houry, Han Bao, Han Zhao et al.
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent
Jialun Zhang, Richard Y Zhang, Hong-Ming Chiu