Papers
938 papers found
Fedvarp: Tackling the variance due to partial client participation in federated learning
Divyansh Jhunjhunwala, Pranay Sharma, Aushim Nagarkatti et al.
Fine-Grained matching with multi-perspective similarity modeling for cross-modal retrieval
Xiumin Xie, Chuanwen Hou, Zhixin Li
Finite-horizon equilibria for neuro-symbolic concurrent stochastic games
Rui Yan, Gabriel Santos, Xiaoming Duan et al.
Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation
Harald Leisenberger, Franz Pernkopf, Christian Knoll
Forget-me-not! Contrastive critics for mitigating posterior collapse
Sachit Menon, David Blei, Carl Vondrick
Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems
Mao Ye, Ruichen Jiang, Haoxiang Wang et al.
Generalized Bayesian quadrature with spectral kernels
Houston Warren, Rafael Oliveira, Fabio Ramos
Generalizing off-policy learning under sample selection bias
Tobias Hatt, Daniel Tschernutter, Stefan Feuerriegel
GNN2GNN: Graph neural networks to generate neural networks
Andrea Agiollo, Andrea Omicini
Greedy equivalence search in the presence of latent confounders
Tom Claassen, Ioan G. Bucur
Greedy modality selection via approximate submodular maximization
Runxiang Cheng, Gargi Balasubramaniam, Yifei He et al.
Greedy relaxations of the sparsest permutation algorithm
Wai-Yin Lam, Bryan Andrews, Joseph Ramsey
High-probability bounds for robust stochastic Frank-Wolfe algorithm
Tongyi Tang, Krishna Balasubramanian, Thomas Chun Man Lee
How unfair is private learning?
Amartya Sanyal, Yaxi Hu, Fanny Yang
Identifiability of sparse causal effects using instrumental variables
Niklas Pfister, Jonas Peters
Identifying near-optimal decisions in linear-in-parameter bandit models with continuous decision sets
Sanjay P. Bhat, Chaitanya Amballa
If you’ve trained one you’ve trained them all: inter-architecture similarity increases with robustness
Haydn T. Jones, Jacob M. Springer, Garrett T. Kenyon et al.
Implicit kernel meta-learning using kernel integral forms
John Isak Texas Falk, Carlo Cilibert, Massimiliano Pontil
Improved feature importance computation for tree models based on the Banzhaf value
Adam Karczmarz, Tomasz Michalak, Anish Mukherjee et al.
Improving sign-random-projection via count sketch
Punit Pankaj Dubey, Bhisham Dev Verma, Rameshwar Pratap et al.
Individual fairness in feature-based pricing for monopoly markets
Shantanu Das, Swapnil Dhamal, Ganesh Ghalme et al.
Inductive synthesis of finite-state controllers for POMDPs
Roman Andriushchenko, Milan Češka, Sebastian Junges et al.
Information design for multiple independent and self-interested defenders: Work less, pay off more
Chenghan Zhou, Andrew Spivey, Haifeng Xu et al.
Information theoretic approach to detect collusion in multi-agent games
Trevor Bonjour, Vaneet Aggarwal, Bharat Bhargava