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UAI 2025

A

Conference on Uncertainty in Artificial Intelligence

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230
accepted papers
806
authors
July 21-25, 2025
dates
Brazil
location

230 / 230 papers

  1. 1
    A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time
    Yeqi Gao
    ,
    Zhao Song
    ,
    Weixin Wang
    ,
    Junze Yin
  2. 2
    A Mirror Descent Perspective of Smoothed Sign Descent
    Shuyang Wang
    ,
    Diego Klabjan
  3. 3
    A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections
    Prodromos Kolyvakis
    ,
    Aristidis Likas
  4. 4
    A Parallel Network for LRCT Segmentation and Uncertainty Mitigation with Fuzzy Sets
    Shiyi Wang
    ,
    Yang Nan
    ,
    Xiaodan Xing
    ,
    Yingying Fang
    ,
    Simon L. F. Walsh
    ,
    Guang Yang
  5. 5
    A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction
    Leander Kurscheidt
    ,
    Paolo Morettin
    ,
    Roberto Sebastiani
    ,
    Andrea Passerini
    ,
    Antonio Vergari
  6. 6
    A Quantum Information Theoretic Approach to Tractable Probabilistic Models
    Pedro Zuidberg Dos Martires
  7. 7
    A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs
    Wenyu Wang
    ,
    Zheyi Fan
    ,
    Szu Hui Ng
  8. 8
    A Trust-Region Method for Graphical Stein Variational Inference
    Liam Pavlovic
    ,
    David M. Rosen
  9. 9
    A Unified Data Representation Learning for Non-parametric Two-sample Testing
    Xunye Tian
    ,
    Liuhua Peng
    ,
    Zhijian Zhou
    ,
    Mingming Gong
    ,
    Arthur Gretton
    ,
    Feng Liu
  10. 10
    Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference
    Mert Ketenci
    ,
    Adler J. Perotte
    ,
    Noémie Elhadad
    ,
    Iñigo Urteaga
  11. 11
    Adapting Prediction Sets to Distribution Shifts Without Labels
    Kevin Kasa
    ,
    Zhiyu Zhang
    ,
    Heng Yang
    ,
    Graham W. Taylor
  12. 12
    Adaptive Human-Robot Collaboration using Type-Based IRL
    Prasanth Sengadu Suresh
    ,
    Prashant Doshi
    ,
    Bikramjit Banerjee
  13. 13
    Adaptive Reward Design for Reinforcement Learning
    Minjae Kwon
    ,
    Ingy Elsayed-Aly
    ,
    Lu Feng
  14. 14
    Adaptive Threshold Sampling for Pure Exploration in Submodular Bandits
    Wenjing Chen
    ,
    Shuo Xing
    ,
    Victoria G. Crawford
  15. 15
    Adversarial Training May Induce Deteriorating Distributions
    Runzhi Tian
    ,
    Yongyi Mao
  16. 16
    Aggregating Data for Optimal Learning
    Sushant Agarwal
    ,
    Yukti Makhija
    ,
    Rishi Saket
    ,
    Aravindan Raghuveer
  17. 17
    An Information-theoretic Perspective of Hierarchical Clustering on Graphs
    Yicheng Pan
    ,
    Bingchen Fan
    ,
    Pengyu Long
    ,
    Feng Zheng
  18. 18
    An Optimal Algorithm for Strongly Convex Min-Min Optimization
    Dmitry Kovalev
    ,
    Alexander V. Gasnikov
    ,
    Grigory Malinovsky
  19. 19
    Approximate Bayesian Inference via Bitstring Representations
    Aleksanteri M. Sladek
    ,
    Martin Trapp
    ,
    Arno Solin
  20. 20
    Are You Doing Better Than Random Guessing? A Call for Using Negative Controls When Evaluating Causal Discovery Algorithms
    Anne Helby Petersen
  21. 21
    Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget
    Jie Bian
    ,
    Vincent Y. F. Tan
  22. 22
    Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis
    Ruiquan Huang
    ,
    Donghao Li
    ,
    Chengshuai Shi
    ,
    Cong Shen
    ,
    Jing Yang
  23. 23
    Bayesian Optimization over Bounded Domains with the Beta Product Kernel
    Huy Hoang Nguyen
    ,
    Han Zhou
    ,
    Matthew B. Blaschko
    ,
    Aleksei Tiulpin
  24. 24
    Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?
    Hwanwoo Kim
    ,
    Chong Liu
    ,
    Yuxin Chen
  25. 25
    BELIEF - Bayesian Sign Entropy Regularization for LIME Framework
    Revoti Prasad Bora
    ,
    Philipp Terhörst
    ,
    Raymond N. J. Veldhuis
    ,
    Raghavendra Ramachandra
    ,
    Kiran Bylappa Raja
  26. 26
    Best Arm Identification with Possibly Biased Offline Data
    Le Yang
    ,
    Vincent Y. F. Tan
    ,
    Wang Chi Cheung
  27. 27
    Best Possible Q-Learning
    Jiechuan Jiang
    ,
    Zongqing Lu
  28. 28
    Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection
    Tianci Liu
    ,
    Tong Yang
    ,
    Quan Zhang
    ,
    Qi Lei
  29. 29
    Beyond Sin-Squared Error: Linear Time Entrywise Uncertainty Quantification for Streaming PCA
    Syamantak Kumar
    ,
    Shourya Pandey
    ,
    Purnamrita Sarkar
  30. 30
    Black-box Optimization with Unknown Constraints via Overparameterized Deep Neural Networks
    Dat Phan-Trong
    ,
    Hung The Tran
    ,
    Sunil Gupta
  31. 31
    Budget Allocation Exploiting Label Correlation between Instances
    Adithya Kulkarni
    ,
    Mohna Chakraborty
    ,
    Sihong Xie
    ,
    Qi Li
  32. 32
    Building Conformal Prediction Intervals with Approximate Message Passing
    Lucas Clarté
    ,
    Lenka Zdeborová
  33. 33
    Calibrated Regression Against An Adversary Without Regret
    Shachi Deshpande
    ,
    Charles Marx
    ,
    Volodymyr Kuleshov
  34. 34
    Can a Bayesian Oracle Prevent Harm from an Agent?
    Yoshua Bengio
    ,
    Michael K. Cohen
    ,
    Nikolay Malkin
    ,
    Matt MacDermott
    ,
    Damiano Fornasiere
    ,
    Pietro Greiner
    ,
    Younesse Kaddar
  35. 35
    CATE Estimation With Potential Outcome Imputation From Local Regression
    Ahmed Aloui
    ,
    Juncheng Dong
    ,
    Cat Phuoc Le
    ,
    Vahid Tarokh
  36. 36
    Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
    Mathias Drton
    ,
    Marina Garrote-López
    ,
    Niko Nikov
    ,
    Elina Robeva
    ,
    Y. Samuel Wang
  37. 37
    Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
    Yaroslav Kivva
    ,
    Sina Akbari
    ,
    Saber Salehkaleybar
    ,
    Negar Kiyavash
  38. 38
    Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation
    Junzhe Zhang
    ,
    Elias Bareinboim
  39. 39
    Causal Inference amid Missingness-Specific Independences and Mechanism Shifts
    Johan de Aguas
    ,
    Leonard Henckel
    ,
    Johan Pensar
    ,
    Guido Biele
  40. 40
    Causal Models for Growing Networks
    Gecia Bravo Hermsdorff
    ,
    Kayvan Sadeghi
    ,
    Lee M. Gunderson
  41. 41
    Coevolutionary Emergent Systems Optimization with Applications to Ultra-High-Dimensional Metasurface Design : OAM Wave Manipulation
    Zhengxuan Jiang
    ,
    Guowen Ding
    ,
    Wen Jiang
  42. 42
    Collaborative Prediction: To Join or To Disjoin Datasets
    Kyung Rok Kim
    ,
    Yansong Wang
    ,
    Xiaocheng Li
    ,
    Guanting Chen
  43. 43
    Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning
    Xue Zhou
    ,
    Dapeng Man
    ,
    Chen Xu
    ,
    Fanyi Zeng
    ,
    Tao Liu
    ,
    Huan Wang
    ,
    Shucheng He
    ,
    Chaoyang Gao
    ,
    Wu Yang
  44. 44
    Complete Characterization for Adjustment in Summary Causal Graphs of Time Series
    Clément Yvernes
    ,
    Emilie Devijver
    ,
    Éric Gaussier
  45. 45
    Computationally Efficient Methods for Invariant Feature Selection with Sparsity
    Jane Du
    ,
    Arindam Banerjee
  46. 46
    Concept Forgetting via Label Annealing
    Subhodip Panda
    ,
    Ananda Theertha Suresh
    ,
    Atri Guha
    ,
    Prathosh A. P.
  47. 47
    Conditional Average Treatment Effect Estimation Under Hidden Confounders
    Ahmed Aloui
    ,
    Juncheng Dong
    ,
    Ali Hasan
    ,
    Vahid Tarokh
  48. 48
    Conference on Uncertainty in Artificial Intelligence, Rio Othon Palace, Rio de Janeiro, Brazil, 21-25 July 2025
    Silvia Chiappa
    ,
    Sara Magliacane
  49. 49
    Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information
    Ömer Faruk Akgül
    ,
    Rajgopal Kannan
    ,
    Viktor K. Prasanna
  50. 50
    Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression
    Hooman Shahrokhi
    ,
    Devjeet Raj Roy
    ,
    Yan Yan
    ,
    Venera Arnaoudova
    ,
    Jana Doppa