Papers
4,025 papers found
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks
Moshe Eliasof, Eldad Haber, Eran Treister et al.
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers
Cai Zhou, Rose Yu, Yusu Wang
On the Vulnerability of Fairness Constrained Learning to Malicious Noise
Avrim Blum, Princewill Okoroafor, Aadirupa Saha et al.
Optimal Budgeted Rejection Sampling for Generative Models
Alexandre Verine, Muni Sreenivas Pydi, Benjamin Negrevergne et al.
Optimal estimation of Gaussian (poly)trees
Yuhao Wang, Ming Gao, Wai Ming Tai et al.
Optimal Exploration is no harder than Thompson Sampling
Zhaoqi Li, Kevin Jamieson, Lalit Jain
Optimal Sparse Survival Trees
Rui Zhang, Rui Xin, Margo Seltzer et al.
Optimal Transport for Measures with Noisy Tree Metric
Tam Le, Truyen Nguyen, Kenji Fukumizu
Optimal Zero-Shot Detector for Multi-Armed Attacks
Federica Granese, Marco Romanelli, Pablo Piantanida
Optimising Distributions with Natural Gradient Surrogates
Jonathan So, Richard E. Turner
Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits
Lequn Wang, Akshay Krishnamurthy, Alex Slivkins
Ordinal Potential-based Player Rating
Nelson Vadori, Rahul Savani
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles
Fan Yang, Pierre Le Bodic, Michael Kamp et al.
Parameter-Agnostic Optimization under Relaxed Smoothness
Florian Hübler, Junchi Yang, Xiang Li et al.
Pathwise Explanation of ReLU Neural Networks
Seongwoo Lim, Won Jo, Joohyung Lee et al.
Personalized Federated X-armed Bandit
Wenjie Li, Qifan Song, Jean Honorio
Pessimistic Off-Policy Multi-Objective Optimization
Shima Alizadeh, Aniruddha Bhargava, Karthick Gopalswamy et al.
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
Hanjiang Hu, Zuxin Liu, Linyi Li et al.
Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis
Zihao Li, Xiang Ji, Minshuo Chen et al.
Policy Learning for Localized Interventions from Observational Data
Myrl G. Marmarelis, Fred Morstatter, Aram Galstyan et al.
Positivity-free Policy Learning with Observational Data
Pan Zhao, Antoine Chambaz, Julie Josse et al.
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
Luhuan Wu, Sinead A Williamson
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks
Ahmad Rashid, Serena Hacker, Guojun Zhang et al.
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model
Abhinav Chakraborty, Anirban Chatterjee, Abhinandan Dalal