Papers
Analysis of stochastic Lanczos quadrature for spectrum approximation
Tyler Chen, Thomas Trogdon, Shashanka Ubaru
Analyzing the tree-layer structure of Deep Forests
Ludovic Arnould, Claire Boyer, Erwan Scornet
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
Minkai Xu, Wujie Wang, Shitong Luo et al.
A New Formalism, Method and Open Issues for Zero-Shot Coordination
Johannes Treutlein, Michael Dennis, Caspar Oesterheld et al.
A New Representation of Successor Features for Transfer across Dissimilar Environments
Majid Abdolshah, Hung Le, Thommen Karimpanal George et al.
An exact solver for the Weston-Watkins SVM subproblem
Yutong Wang, Clayton Scott
An Identifiable Double VAE For Disentangled Representations
Graziano Mita, Maurizio Filippone, Pietro Michiardi
An Information-Geometric Distance on the Space of Tasks
Yansong Gao, Pratik Chaudhari
An Integer Linear Programming Framework for Mining Constraints from Data
Tao Meng, Kai-Wei Chang
Annealed Flow Transport Monte Carlo
Michael Arbel, Alex Matthews, Arnaud Doucet
A Novel Method to Solve Neural Knapsack Problems
Duanshun Li, Jing Liu, Dongeun Lee et al.
A Novel Sequential Coreset Method for Gradient Descent Algorithms
Jiawei Huang, Ruomin Huang, Wenjie Liu et al.
A Nullspace Property for Subspace-Preserving Recovery
Mustafa D Kaba, Chong You, Daniel P Robinson et al.
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
Dong Ki Kim, Miao Liu, Matthew D Riemer et al.
Approximate Group Fairness for Clustering
Bo Li, Lijun Li, Ankang Sun et al.
Approximating a Distribution Using Weight Queries
Nadav Barak, Sivan Sabato
Approximation Theory Based Methods for RKHS Bandits
Sho Takemori, Masahiro Sato
Approximation Theory of Convolutional Architectures for Time Series Modelling
Haotian Jiang, Zhong Li, Qianxiao Li
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi, Max Welling, Andrew Gordon Wilson
A Precise Performance Analysis of Support Vector Regression
Houssem Sifaou, Abla Kammoun, Mohamed-Slim Alouini
A Probabilistic Approach to Neural Network Pruning
Xin Qian, Diego Klabjan
A Proxy Variable View of Shared Confounding
Yixin Wang, David Blei
APS: Active Pretraining with Successor Features
Hao Liu, Pieter Abbeel
A Receptor Skeleton for Capsule Neural Networks
Jintai Chen, Hongyun Yu, Chengde Qian et al.
A Regret Minimization Approach to Iterative Learning Control
Naman Agarwal, Elad Hazan, Anirudha Majumdar et al.