Papers
4,025 papers found
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
Fast and Adversarial Robust Kernelized SDU Learning
Yajing Fan, wanli shi, Yi Chang et al.
Fast Dynamic Sampling for Determinantal Point Processes
Zhao Song, Junze Yin, Lichen Zhang et al.
Faster Convergence with MultiWay Preferences
Aadirupa Saha, Vitaly Feldman, Yishay Mansour et al.
Faster Recalibration of an Online Predictor via Approachability
Princewill Okoroafor, Bobby Kleinberg, Wen Sun
Fast Fourier Bayesian Quadrature
Houston Warren, Fabio Ramos
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging
Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
Feasible $Q$-Learning for Average Reward Reinforcement Learning
Ying Jin, Ramki Gummadi, Zhengyuan Zhou et al.
Federated Experiment Design under Distributed Differential Privacy
Wei-Ning Chen, Graham Cormode, Akash Bharadwaj et al.