- Rohit Bhattacharya, Razieh Nabi:
On testability of the front-door model via Verma constraints. UAI 2022: 202-212 - Tineke Blom, Joris M. Mooij:
Robustness of model predictions under extension. UAI 2022: 213-222 - Trevor Bonjour
, Vaneet Aggarwal, Bharat K. Bhargava:
Information theoretic approach to detect collusion in multi-agent games. UAI 2022: 223-232 - Tanya Braun, Marcel Gehrke, Florian Lau, Ralf Möller:
Lifting in multi-agent systems under uncertainty. UAI 2022: 233-243 - Tomás Brázdil, David Klaska, Antonín Kucera, Vít Musil, Petr Novotný, Vojtech Rehák:
On-the-fly adaptation of patrolling strategies in changing environments. UAI 2022: 244-254 - Ido Bronstein, Alon Brutzkus, Amir Globerson:
On the inductive bias of neural networks for learning read-once DNFs. UAI 2022: 255-265 - Difeng Cai
, Yuliang Ji, Huan He, Qiang Ye, Yuanzhe Xi:
AUTM flow: atomic unrestricted time machine for monotonic normalizing flows. UAI 2022: 266-274 - Yiting Cao, Chao Lan:
Active approximately metric-fair learning. UAI 2022: 275-285 - Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao:
Capturing actionable dynamics with structured latent ordinary differential equations. UAI 2022: 286-295 - Kamalika Chaudhuri, Chuan Guo, Mike Rabbat:
Privacy-aware compression for federated data analysis. UAI 2022: 296-306 - Omar Chehab, Alexandre Gramfort, Aapo Hyvärinen:
The optimal noise in noise-contrastive learning is not what you think. UAI 2022: 307-316 - Jinglin Chen, Nan Jiang:
Offline reinforcement learning under value and density-ratio realizability: The power of gaps. UAI 2022: 378-388 - Yizuo Chen, Adnan Darwiche:
On the definition and computation of causal treewidth. UAI 2022: 368-377 - Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré:
Shoring up the foundations: fusing model embeddings and weak supervision. UAI 2022: 357-367 - Qi Chen, Kai Liu, Ruilong Yao, Hu Ding:
Sublinear time algorithms for greedy selection in high dimensions. UAI 2022: 346-356 - John Chen, Samarth Sinha, Anastasios Kyrillidis:
Stackmix: a complementary mix algorithm. UAI 2022: 326-335 - Mengjing Chen, Pingzhong Tang, Zihe Wang, Shenke Xiao, Xiwang Yang:
A competitive analysis of online failure-aware assignment. UAI 2022: 317-325 - Xinyuan Chen, Zhongmei Zhou, Meichun Gao, Daya Shi, Mohd Nizam Husen:
Knowledge representation combining quaternion path integration and depth-wise atrous circular convolution. UAI 2022: 336-345 - Runxiang Cheng, Gargi Balasubramaniam, Yifei He, Yao-Hung Hubert Tsai, Han Zhao:
Greedy modality selection via approximate submodular maximization. UAI 2022: 389-399 - Yoichi Chikahara, Makoto Yamada, Hisashi Kashima:
Feature selection for discovering distributional treatment effect modifiers. UAI 2022: 400-410 - Kwanghee Choi, Siyeong Lee:
Combating the instability of mutual information-based losses via regularization. UAI 2022: 411-421 - Gabriella Chouraqui, Liron Cohen, Gil Einziger, Liel Leman:
A geometric method for improved uncertainty estimation in real-time. UAI 2022: 422-432 - Sewhan Chun, Jae Young Lee, Junmo Kim:
Cyclic test time augmentation with entropy weight method. UAI 2022: 433-442 - Tom Claassen, Ioan Gabriel Bucur:
Greedy equivalence search in the presence of latent confounders. UAI 2022: 443-452 - Zijun Cui, Hanjing Wang, Tian Gao, Kartik Talamadupula, Qiang Ji:
Variational message passing neural network for Maximum-A-Posteriori (MAP) inference. UAI 2022: 464-474 - Zhongxiang Dai, Yizhou Chen, Haibin Yu, Bryan Kian Hsiang Low, Patrick Jaillet:
On provably robust meta-Bayesian optimization. UAI 2022: 475-485 - Rudrajit Das, Anish Acharya, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu:
Faster non-convex federated learning via global and local momentum. UAI 2022: 496-506 - Shantanu Das, Swapnil Dhamal, Ganesh Ghalme, Shweta Jain, Sujit Gujar:
Individual fairness in feature-based pricing for monopoly markets. UAI 2022: 486-495 - Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy:
Multi-objective Bayesian optimization over high-dimensional search spaces. UAI 2022: 507-517 - Tristan Deleu, António Góis, Chris Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, Yoshua Bengio:
Bayesian structure learning with generative flow networks. UAI 2022: 518-528