Papers
Just Trial Once: Ongoing Causal Validation of Machine Learning Models
Jacob M. Chen, Michael Oberst
Improving Graph Contrastive Learning with Community Structure
Xiang Chen, Kun Yue, Liang Duan et al.
Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees
Emma Ceccherini, Ian Gallagher, Andrew Jones et al.
Out-of-distribution Robust Optimization
Zhongze Cai, Hansheng Jiang, Xiaocheng Li
Fast Non-convex Matrix Sensing with Optimal Sample Complexity
Jian-Feng Cai, Tong Wu, Ruizhe Xia
Creative Agents: Empowering Agents with Imagination for Creative Tasks
Penglin Cai, Chi Zhang, Yuhui Fu et al.
Epistemic Uncertainty in Conformal Scores: A Unified Approach
Luben Miguel Cruz Cabezas, Vagner Silva Santos, Thiago Ramos et al.
Causal Models for Growing Networks
Gecia Bravo-Hermsdorff, Kayvan Sadeghi, Lee M. Gunderson
Stein Variational Evolution Strategies
Cornelius V. Braun, Robert Tjarko Lange, Marc Toussaint
Multi-Cost-Bounded Reachability Analysis of POMDPs
Alexander Bork, Joost-Pieter Katoen, Tim Quatmann et al.
BELIEF - Bayesian Sign Entropy Regularization for LIME Framework
Revoti Prasad Bora, Philipp Terhörst, Raymond Veldhuis et al.
Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget
Jie Bian, Vincent Y. F. Tan
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
Sourbh Bhadane, Joris Marten Mooij, Philip Boeken et al.
Can a Bayesian Oracle Prevent Harm from an Agent?
Yoshua Bengio, Michael K. Cohen, Nikolay Malkin et al.
Limit-sure Reachability for Small Memory Policies in POMDPs is NP-complete
Ali Asadi, Krishnendu Chatterjee, Raimundo Saona et al.
Lower Bound on Howard Policy Iteration for Deterministic Markov Decision Processes
Ali Asadi, Krishnendu Chatterjee, Jakob de Raaij
Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
Marcel Arpogaus, Thomas Kneib, Thomas Nagler et al.
Evasion Attacks Against Bayesian Predictive Models
Pablo G. Arce, Roi Naveiro, David Ríos Insua
Expert-In-The-Loop Causal Discovery: Iterative Model Refinement Using Expert Knowledge
Ankur Ankan, Johannes Textor
MOHITO: Multi-Agent Reinforcement Learning using Hypergraphs for Task-Open Systems
Gayathri Anil, Prashant Doshi, Daniel Alan Redder et al.
Symbiotic Local Search for Small Decision Tree Policies in MDPs
Roman Andriushchenko, Milan Ceska, Debraj Chakraborty et al.
Sparse Structure Exploration and Re-optimization for Vision Transformer
Sangho An, Jinwoo Kim, Keonho Lee et al.
Conditional Average Treatment Effect Estimation Under Hidden Confounders
Ahmed Aloui, Juncheng Dong, Ali Hasan et al.
CATE Estimation With Potential Outcome Imputation From Local Regression
Ahmed Aloui, Juncheng Dong, Cat Phuoc Le et al.