Papers
938 papers found
Multi-modal differentiable unsupervised feature selection
Junchen Yang, Ofir Lindenbaum, Yuval Kluger et al.
Multi-view graph contrastive learning for solving vehicle routing problems
Yuan Jiang, Zhiguang Cao, Yaoxin Wu et al.
Multi-View Independent Component Analysis with Shared and Individual Sources
Teodora Pandeva, Patrick Forré
Neural probabilistic logic programming in discrete-continuous domains
Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve et al.
Neural tangent kernel at initialization: linear width suffices
Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu et al.
Noisy adversarial representation learning for effective and efficient image obfuscation
Jonghu Jeong, Minyong Cho, Philipp Benz et al.
Nonconvex stochastic scaled gradient descent and generalized eigenvector problems
Chris Junchi Li, Michael I Jordan
No-Regret Linear Bandits beyond Realizability
Chong Liu, Ming Yin, Yu-Xiang Wang
Nyström $M$-Hilbert-Schmidt independence criterion
Florian Kalinke, Zoltán Szabó
On Identifiability of Conditional Causal Effects
Yaroslav Kivva, Jalal Etesami, Negar Kiyavash
On inference and learning with probabilistic generating circuits
Juha Harviainen, Vaidyanathan Peruvemba Ramaswamy, Mikko Koivisto
Online estimation of similarity matrices with incomplete data
Fangchen Yu, Yicheng Zeng, Jianfeng Mao et al.
Online Heavy-tailed Change-point detection
Abishek Sankararaman, Balakrishnan Narayanaswamy
On Minimizing the Impact of Dataset Shifts on Actionable Explanations
Anna P. Meyer, Dan Ley, Suraj Srinivas et al.
On Testability and Goodness of Fit Tests in Missing Data Models
Razieh Nabi, Rohit Bhattacharya
On the Convergence of Continual Learning with Adaptive Methods
Seungyub Han, Yeongmo Kim, Taehyun Cho et al.
On the informativeness of supervision signals
Ilia Sucholutsky, Ruairidh M. Battleday, Katherine M. Collins et al.
On the limitations of Markovian rewards to express multi-objective, risk-sensitive, and modal tasks
Joar Skalse, Alessandro Abate
On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation
Alberto Maria Metelli, Samuele Meta, Marcello Restelli
On the Role of Generalization in Transferability of Adversarial Examples
Yilin Wang, Farzan Farnia
On the role of model uncertainties in Bayesian optimisation
Jonathan Foldager, Mikkel Jordahn, Lars K. Hansen et al.
Optimal Budget Allocation for Crowdsourcing Labels for Graphs
Adithya Kulkarni, Mohna Chakraborty, Sihong Xie et al.
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning
Bingshan Hu, Tianyue H. Zhang, Nidhi Hegde et al.
Pandering in a (flexible) representative democracy
Xiaolin Sun, Jacob Masur, Ben Abramowitz et al.