Papers
938 papers found
Establishing Markov equivalence in cyclic directed graphs
Tom Claassen, Joris M. Mooij
Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification
Paweł Piwek, Adam Klukowski, Tianyang Hu
Expectation consistency for calibration of neural networks
Lucas Clarté, Bruno Loureiro, Florent Krzakala et al.
Exploiting Inferential Structure in Neural Processes
Dharmesh Tailor, Mohammad Emtiyaz Khan, Eric Nalisnick
Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits?
Xuchuang Wang, Lin Yang, Yu-zhen Janice Chen et al.
Fairness-aware class imbalanced learning on multiple subgroups
Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong et al.
Fast and scalable score-based kernel calibration tests
Pierre Glaser, David Widmann, Fredrik Lindsten et al.
Fast Heterogeneous Federated Learning with Hybrid Client Selection
Duanxiao Song, Guangyuan Shen, Dehong Gao et al.
Fast Teammate Adaptation in the Presence of Sudden Policy Change
Ziqian Zhang, Lei Yuan, Lihe Li et al.
Federated learning of models pre-trained on different features with consensus graphs
Tengfei Ma, Trong Nghia Hoang, Jie Chen
Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning
Belhal Karimi, Ping Li, Xiaoyun Li
Finding Invariant Predictors Efficiently via Causal Structure
Kenneth Lee, Md Musfiqur Rahman, Murat Kocaoglu
Finite-sample guarantees for Nash Q-learning with linear function approximation
Pedro Cisneros-Velarde, Sanmi Koyejo
Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances
Anusha Lalitha Lalitha, Kousha Kalantari, Yifei Ma et al.
FLASH: Automating federated learning using CASH
Md I. I. Alam, Koushik Kar, Theodoros Salonidis et al.
Functional causal Bayesian optimization
Limor Gultchin, Virginia Aglietti, Alexis Bellot et al.
Gaussian Process Surrogate Models for Neural Networks
Michael Y. Li, Erin Grant, Thomas L. Griffiths
Generating Synthetic Datasets by Interpolating along Generalized Geodesics
Jiaojiao Fan, David Alvarez-Melis
Graph classification Gaussian processes via spectral features
Felix L. Opolka, Yin-Cong Zhi, Pietro Liò et al.
Graph Self-supervised Learning via Proximity Distribution Minimization
Tianyi Zhang, Zhenwei Dai, Zhaozhuo Xu et al.
Greed is good: correspondence recovery for unlabeled linear regression
Hang Zhang, Ping Li
Guided Deep Kernel Learning
Idan Achituve, Gal Chechik, Ethan Fetaya
Hallucinated adversarial control for conservative offline policy evaluation
Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler et al.
Heavy-tailed linear bandit with Huber regression
Minhyun Kang, Gi-Soo Kim