Papers
Learning Max-Stable Representations that Extrapolate
Ali Hasan, Patrick Kendal Kuiper, Yuting Ng et al.
Learning Bayesian and Markov Networks with an Unreliable Oracle
Juha Harviainen, Pekka Parviainen, Vidya Sagar Sharma
Should You Use Your Large Language Model to Explore or Exploit?
Keegan Harris, Aleksandrs Slivkins
Robust Bayesian Decision Making under Adversarial Uncertainty
Haripriya Harikumar, Sammie Katt, Yasir Zubayr Barlas et al.
Provable Subspace Identification of Nonlinear Multi-view CCA
Zhiwei Han, Stefan Matthes, Hao Shen
Scalable Model-Assisted Multi-Target Estimation in Large Image Collections
Max Hamilton, Jinlin Lai, Daniel Sheldon et al.
A Probabilistic Circuit Framework for Interpretable Graph PU Learning
Sagad Hamid, Dooho Lee, Myeong Kong et al.
Reliable Conformal Prediction for Ordinal Classification Using the Ranked Probability Score
Stefan Haas, Luca Killmaier, Alireza Javanmardi et al.
Proximal Identification and Estimation in Front-Door Causal Structures with Unobserved Confounding of the Mediator
Helen Guo, Beatrix Yaxin Wen, Ilya Shpitser
Provably Efficient Reinforcement Learning in Continuous-Time Episodic MDPs with Poisson Decision Epochs
Kenny Guo, Valentio Iverson, Sahan Wijetunga et al.
The Price of Valid Inference After Causal Discovery
Dongxin Guo, Jikun Wu, Siu Ming Yiu
Detecting Out of Distribution Samples using Class Centered Residual Energy in the Discarded PCA Subspace with Weight Alignment
Shreen Gul, Mohamed Elmahallawy, Ardhendu Tripathy et al.
Eigenvalue Calibration for Semantic Embeddings of Large Language Models
Sebastian G. Gruber, Nassim Walha, Francis Bach et al.
Gaussian Graphical Learning via PSD Constraint for Blockwise Missing Multimodal Data
Joseph L. Graves, Yufeng Liu, Elio Zhang et al.
Quantification of Credal Uncertainty: A Distance-Based Approach
Xabier Gonzalez-Garcia, Siu Lun Chau, Julian Rodemann et al.
Fast Best-in-Class Regret for Contextual Bandits
Samuel Girard, Aurélien Bibaut, Jill-Jênn Vie et al.
Implicit Learning for Reasoning in First-Order Probabilistic Logic
Luise Ge, Brendan Juba, Kris Nilsson et al.
Conformal Online Model Aggregation
Matteo Gasparin, Aaditya Ramdas
Advances in PAC-Bayesian certification of deep neural networks: tighter closed-form inequalities and optimization of bounds on non-differentiable losses
Diego García-Pérez, Emilio Parrado-Hernandez, John Shawe-Taylor
Perfect Matching Map Recovery Under Unknown Scalar Affine Transformation
Tigran Galstyan, Avetik Karagulyan, Arshak Minasyan
Bregman contrastive estimation as a general framework for learning unnormalized models: Efficiency, robustness and optimal noise
Yuto Fujii, Hiroaki Sasaki, Takafumi Kanamori
Explainable Clustering of Mixture Models
Maximilian Fleissner, Maedeh Zarvandi, Debarghya Ghoshdastidar
Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs
Simon Ferreira, Charles K. Assaad
Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing
Arda Fazla, Abolfazl Hashemi
Poisson–Gamma Modeling of Inter-Relational Dependencies in Dynamic Knowledge Graphs
Nan Fang, Yijun Wang, Hao Liao et al.