Papers
Learning Lineage-guided Geodesics with Finsler Geometry
Aaron Zweig, Mingxuan Zhang, David A. Knowles et al.
Towards Identifiability of Interventional Stochastic Differential Equations
Aaron Zweig, Zaikang Lin, Elham Azizi et al.
Revisiting TD Target Aggregation under Uncertainty in Q-Learning
Lipeng Zu, Xiaonan Zhang
Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings
Yuqicheng Zhu, Nico Potyka, Bo Xiong et al.
Unified Confidence Adjustment for Robust Cross-Modal Retrieval under Test-Time Distribution Shifts
Rui Zhou, Yawen Hao, Hao Zuo et al.
Bandwidth Selection in Kernel Density Estimation for Model Calibration
Han Zhou, Teodora Popordanoska, Matthew B. Blaschko
Uncertainty Quantification of Click and Conversion Estimates for the Autobidding
Ivan Zhigalskii, Andrey Pudovikov, Aleksandr Katrutsa et al.
Self-Supervised Uncertainty Estimation For Super-Resolution of Satellite Images
Zhe Zheng, Valéry Dewil, Pablo Arias
SeSE: Black-Box Uncertainty Quantification for Large Language Models Based on Structural Information Theory
Xingtao Zhao, Hao Peng, Dingli Su et al.
Efficient Decentralized Learning of Generalized Quantal Response Equilibrium
Zehao Zhao, Apurv Shukla, Rahul Jain et al.
Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion Models
Lei Zhang, Yu Pan, Bingrong Dai et al.
Instrumental and Proximal Causal Inference with Gaussian Processes
Yuqi Zhang, Krikamol Muandet, Dino Sejdinovic et al.
Not All Queries Need Deep Thought: CoFiCot for Adaptive Coarse-to-fine Stateful Refinement
Dongxu Zhang, Hongqiang Lin, Yiding Sun et al.
FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching
Haoran Zhang, Cainã Figueiredo Pereira, Marie Siew et al.
Interpretable Causal Discovery via Causal-Effect Constraints
Cixuan Zhang, Guy Van den Broeck, Benjie Wang
Bounding the Causal Impact of ML-assisted Decision-Making via Counterfactual Correctness
Jonathan Zhang, Erik Skalnes, Jacob M. Chen et al.
ALIGN: Adversarial Learning for Generalizable Speech Neuroprosthesis
Zhanqi Zhang, Shun Li, Bernardo L. Sabatini et al.
Structural Drift Repair in Decision Trees via Bayesian Model-Based Diagnosis
Yoav Zelinger, Meir Kalech
A Debiased LASSO Estimator for Design Matrices with Non-zero Mean Elements
Ashish Zantye, Ajit Rajwade, Radhendushka Srivastava
On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference
Moritz Akiya Zanger, Yijun Wu, Pascal R. van der Vaart et al.
Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design
Vincent D. Zaballa, Elliot E Hui
MMG: Mutual Information Estimation via the MMSE Gap in Diffusion
Longxuan Yu, Xing Shi, Xianghao Kong et al.
Neural Value Iteration
Yang You, Ufuk \textÇakır, Alex Schutz et al.
Estimating Interventional Outcomes over Time with Causal Normalizing Flow
Yoonseok Yeom, Jonghwan Kim, Taehui Yun et al.
When Can Transformers Count to n?
Gilad Yehudai, Haim Kaplan, Guy Dar et al.