Papers
Learning Who to Treat When Treatment is Missing
Johnna Sundberg, Rayid Ghani, Eli Ben-Michael et al.
Classical and Quantum Speedups for Non-Convex Optimization via Energy Conserving Descent
Yihang Sun, Huaijin Wang, Patrick Hayden et al.
Possibilistic Instrumental Variable Regression with Potentially Invalid Instruments
Gregor Steiner, Jeremie Houssineau, Mark Steel
Multiwinner Voting with Interval Preferences under Incomplete Information
Drew Springham, Edith Elkind, Bart De Keijzer et al.
Privacy-Preserving Robustness Verification for Neural Networks
Nianyun Song, Xiaokun Luan, Yu Guo et al.
Adaptive Fourier Decomposition-guided Neural Operator Design for Inverse PDE Problems
Zeyuan Song, Xiaocong Zhen, Zheyu Jiang
Consensus Optimization Graph Neural Networks
Olga Solodova, Ryan P Adams
Learning-based Optimal Admission Control for Erlang-B Queuing Systems
Shubhhi Singh, Shubhanshu Shekhar, Vijay G Subramanian
The Minimal Search Space for Conditional Causal Bandits
Francisco N. F. Q. Simoes, Itai Feigenbaum, Mehdi Dastani et al.
Particle GFlowNets: Rethinking Generative Marginalization Models
Tiago da Silva, Diego Mesquita, Salem Lahlou
A Stronger Calculus of Intervention for Max-Linear Bayesian Networks
Leon Sierau, Francesco Nowell, Nihat Ay
Conditional neural control variates for variance reduction in Bayesian inverse problems
Ali Siahkoohi, Hyunwoo Oh
Collaborative Multi-view Learning from Crowds
Shanshan Si, Liangxiao Jiang, Wenjun Zhang et al.
Fixed-Confidence Best-Arm Identification for Causal Mediation Analysis
Harsh Shrivastava, Yuta Kawakami, Junpei Komiyama et al.
Evaluation of "Probabilities of Causation" in Case-Control Studies: Identification and Estimation
Ryusei Shingaki, Haruka Yoshida, Manabu Kuroki
Valid and Efficient Uncertainty Quantification for Federated Joint Shift
Yuanjie Shi, Peihong Li, Xuanyu Cao et al.
Finding the Signal in the Spam: Jointly Learning Rewards and Worker Reliability from Pairwise Comparisons
Kaustubh Shivshankar Shejole, Tanish Agarwal, Arpit Agarwal et al.
Improving TensorSketch Using Complex Random Variables
Amit Sharma, Mohammad Azhar Khan, Rameshwar Pratap et al.
Analytic Planning under Uncertainty with Moment Closure
Shishir Sharma, Doina Precup
The Art of Calling the Winner by Asking Just Enough Questions
Nisarg Shah, Ziqi Yu
Birds of a Feather Reason Together: Gestalt Grouping Meets Neuro-Symbolic Inference
Jingyuan Sha, Hikaru Shindo, Kristian Kersting et al.
Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems
Gijs van Seeventer, Saber Salehkaleybar
The Price of Knowledge: Optimal Algorithms for Costly Bandits
Felix Schur, Jesus Lago, Tanner Fiez
A Sobering Look at Tabular Data Generation via Probabilistic Circuits
Davide Scassola, Dylan Ponsford, Adrián Javaloy et al.
Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization
Anirudh Satheesh, Pankaj Kumar Barman, Washim Uddin Mondal et al.