PPaperPicks
← All conferences
Editions202620252024

UAI 2025

A

Conference on Uncertainty in Artificial Intelligence

Official site ↗
230
accepted papers
225
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
    DBLP profile ↗ORCID search ↗
  2. 2
    A Mirror Descent Perspective of Smoothed Sign Descent
    Shuyang Wang
    DBLP profile ↗ORCID search ↗
  3. 3
    A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections
    Prodromos Kolyvakis
    DBLP profile ↗ORCID search ↗
  4. 4
    A Parallel Network for LRCT Segmentation and Uncertainty Mitigation with Fuzzy Sets
    Shiyi Wang
    DBLP profile ↗ORCID search ↗
  5. 5
    A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction
    Leander Kurscheidt
    DBLP profile ↗ORCID search ↗
  6. 6
    A Quantum Information Theoretic Approach to Tractable Probabilistic Models
    Pedro Zuidberg Dos Martires
    DBLP profile ↗ORCID search ↗
  7. 7
    A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs
    Wenyu Wang
    DBLP profile ↗ORCID search ↗
  8. 8
    A Trust-Region Method for Graphical Stein Variational Inference
    Liam Pavlovic
    DBLP profile ↗ORCID search ↗
  9. 9
    A Unified Data Representation Learning for Non-parametric Two-sample Testing
    Xunye Tian
    DBLP profile ↗ORCID search ↗
  10. 10
    Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference
    Mert Ketenci
    DBLP profile ↗ORCID search ↗
  11. 11
    Adapting Prediction Sets to Distribution Shifts Without Labels
    Kevin Kasa
    DBLP profile ↗ORCID search ↗
  12. 12
    Adaptive Human-Robot Collaboration using Type-Based IRL
    Prasanth Sengadu Suresh
    DBLP profile ↗ORCID search ↗
  13. 13
    Adaptive Reward Design for Reinforcement Learning
    Minjae Kwon
    DBLP profile ↗ORCID search ↗
  14. 14
    Adaptive Threshold Sampling for Pure Exploration in Submodular Bandits
    Wenjing Chen
    DBLP profile ↗ORCID search ↗
  15. 15
    Adversarial Training May Induce Deteriorating Distributions
    Runzhi Tian
    DBLP profile ↗ORCID search ↗
  16. 16
    Aggregating Data for Optimal Learning
    Sushant Agarwal
    DBLP profile ↗ORCID search ↗
  17. 17
    An Information-theoretic Perspective of Hierarchical Clustering on Graphs
    Yicheng Pan
    DBLP profile ↗ORCID search ↗
  18. 18
    An Optimal Algorithm for Strongly Convex Min-Min Optimization
    Dmitry Kovalev
    DBLP profile ↗ORCID search ↗
  19. 19
    Approximate Bayesian Inference via Bitstring Representations
    Aleksanteri M. Sladek
    DBLP profile ↗ORCID search ↗
  20. 20
    Are You Doing Better Than Random Guessing? A Call for Using Negative Controls When Evaluating Causal Discovery Algorithms
    Anne Helby Petersen
    DBLP profile ↗ORCID search ↗
  21. 21
    Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget
    Jie Bian
    DBLP profile ↗ORCID search ↗
  22. 22
    Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis
    Ruiquan Huang
    DBLP profile ↗ORCID search ↗
  23. 23
    Bayesian Optimization over Bounded Domains with the Beta Product Kernel
    Huy Hoang Nguyen
    DBLP profile ↗ORCID search ↗
  24. 24
    Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?
    Hwanwoo Kim
    DBLP profile ↗ORCID search ↗
  25. 25
    BELIEF - Bayesian Sign Entropy Regularization for LIME Framework
    Revoti Prasad Bora
    DBLP profile ↗ORCID search ↗
  26. 26
    Best Arm Identification with Possibly Biased Offline Data
    Le Yang
    DBLP profile ↗ORCID search ↗
  27. 27
    Best Possible Q-Learning
    Jiechuan Jiang
    DBLP profile ↗ORCID search ↗
  28. 28
    Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection
    Tianci Liu
    DBLP profile ↗ORCID search ↗
  29. 29
    Beyond Sin-Squared Error: Linear Time Entrywise Uncertainty Quantification for Streaming PCA
    Syamantak Kumar
    DBLP profile ↗ORCID search ↗
  30. 30
    Black-box Optimization with Unknown Constraints via Overparameterized Deep Neural Networks
    Dat Phan-Trong
    DBLP profile ↗ORCID search ↗
  31. 31
    Budget Allocation Exploiting Label Correlation between Instances
    Adithya Kulkarni
    DBLP profile ↗ORCID search ↗
  32. 32
    Building Conformal Prediction Intervals with Approximate Message Passing
    Lucas Clarté
    DBLP profile ↗ORCID search ↗
  33. 33
    Calibrated Regression Against An Adversary Without Regret
    Shachi Deshpande
    DBLP profile ↗ORCID search ↗
  34. 34
    Can a Bayesian Oracle Prevent Harm from an Agent?
    Yoshua Bengio
    DBLP profile ↗ORCID 0000-0002-9322-3515 ↗
  35. 35
    CATE Estimation With Potential Outcome Imputation From Local Regression
    Ahmed Aloui
    DBLP profile ↗ORCID search ↗
  36. 36
    Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
    Mathias Drton
    DBLP profile ↗ORCID search ↗
  37. 37
    Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
    Yaroslav Kivva
    DBLP profile ↗ORCID search ↗
  38. 38
    Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation
    Junzhe Zhang
    DBLP profile ↗ORCID search ↗
  39. 39
    Causal Inference amid Missingness-Specific Independences and Mechanism Shifts
    Johan de Aguas
    DBLP profile ↗ORCID search ↗
  40. 40
    Causal Models for Growing Networks
    Gecia Bravo Hermsdorff
    DBLP profile ↗ORCID search ↗
  41. 41
    Coevolutionary Emergent Systems Optimization with Applications to Ultra-High-Dimensional Metasurface Design : OAM Wave Manipulation
    Zhengxuan Jiang
    DBLP profile ↗ORCID search ↗
  42. 42
    Collaborative Prediction: To Join or To Disjoin Datasets
    Kyung Rok Kim
    DBLP profile ↗ORCID search ↗
  43. 43
    Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning
    Xue Zhou
    DBLP profile ↗ORCID search ↗
  44. 44
    Complete Characterization for Adjustment in Summary Causal Graphs of Time Series
    Clément Yvernes
    DBLP profile ↗ORCID search ↗
  45. 45
    Computationally Efficient Methods for Invariant Feature Selection with Sparsity
    Jane Du
    DBLP profile ↗ORCID search ↗
  46. 46
    Concept Forgetting via Label Annealing
    Subhodip Panda
    DBLP profile ↗ORCID search ↗
  47. 47
    Conditional Average Treatment Effect Estimation Under Hidden Confounders
    Ahmed Aloui
    DBLP profile ↗ORCID search ↗
  48. 48
    Conference on Uncertainty in Artificial Intelligence, Rio Othon Palace, Rio de Janeiro, Brazil, 21-25 July 2025
    Silvia Chiappa
    DBLP profile ↗ORCID search ↗
  49. 49
    Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information
    Ömer Faruk Akgül
    DBLP profile ↗ORCID search ↗
  50. 50
    Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression
    Hooman Shahrokhi
    DBLP profile ↗ORCID search ↗