Papers
Warped Diffusion for Latent Differentiation Inference
Masahiro Nakano, Hiroki Sakuma, Ryo Nishikimi et al.
Weight-Sharing Regularization
Mehran Shakerinava, Motahareh MS Sohrabi, Siamak Ravanbakhsh et al.
When No-Rejection Learning is Consistent for Regression with Rejection
Xiaocheng Li, Shang Liu, Chunlin Sun et al.
Why is parameter averaging beneficial in SGD? An objective smoothing perspective
Atsushi Nitanda, Ryuhei Kikuchi, Shugo Maeda et al.
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage
Jae-Jun Lee, Sung Whan Yoon
A Blessing of Dimensionality in Membership Inference through Regularization
Jasper Tan, Daniel LeJeune, Blake Mason et al.
A Bregman Divergence View on the Difference-of-Convex Algorithm
Oisin Faust, Hamza Fawzi, James Saunderson
A Case of Exponential Convergence Rates for SVM
Vivien Cabannnes, Stefano Vigogna
Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes
Elias Wirth, Thomas Kerdreux, Sebastian Pokutta
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem
Ruichen Jiang, Nazanin Abolfazli, Aryan Mokhtari et al.
A Constant-Factor Approximation Algorithm for Reconciliation $k$-Median
Joachim Spoerhase, Kamyar Khodamoradi, Benedikt Riegel et al.
A Contrastive Approach to Online Change Point Detection
Nikita Puchkin, Valeriia Shcherbakova
Active Cost-aware Labeling of Streaming Data
Ting Cai, Kirthevasan Kandasamy
Active Exploration via Experiment Design in Markov Chains
Mojmir Mutny, Tadeusz Janik, Andreas Krause
Active Learning for Single Neuron Models with Lipschitz Non-Linearities
Aarshvi Gajjar, Christopher Musco, Chinmay Hegde
Active Membership Inference Attack under Local Differential Privacy in Federated Learning
Truc Nguyen, Phung Lai, Khang Tran et al.
Actually Sparse Variational Gaussian Processes
Harry Jake Cunningham, Daniel Augusto de Souza, So Takao et al.
AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization
Feihu Huang, Xidong Wu, Zhengmian Hu
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits
Yusha Liu, Aarti Singh
Adapting to Latent Subgroup Shifts via Concepts and Proxies
Ibrahim Alabdulmohsin, Nicole Chiou, Alexander D’Amour et al.
Adaptive Cholesky Gaussian Processes
Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Munoz et al.
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
Yuqing Hu, Stephane Pateux, Vincent Gripon
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories
Lionel Riou-Durand, Pavel Sountsov, Jure Vogrinc et al.
Adversarial De-confounding in Individualised Treatment Effects Estimation
Vinod K. Chauhan, Soheila Molaei, Marzia Hoque Tania et al.
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks
Huishuai Zhang, Da Yu, Yiping Lu et al.