Papers
Hypergraph Simultaneous Generators
Bahman Pedrood, Carlotta Domeniconi, Kathryn Laskey
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects
Yao Zhang, Jeroen Berrevoets, Mihaela Van Der Schaar
Identification in Tree-shaped Linear Structural Causal Models
Benito Van Der Zander, Marcel Wienöbst, Markus Bläser et al.
Identity Testing of Reversible Markov Chains
Sela Fried, Geoffrey Wolfer
Implicitly Regularized RL with Implicit Q-values
Nino Vieillard, Marcin Andrychowicz, Anton Raichuk et al.
Improved Algorithms for Misspecified Linear Markov Decision Processes
Daniel Vial, Advait Parulekar, Sanjay Shakkottai et al.
Improved analysis of randomized SVD for top-eigenvector approximation
Ruo-Chun Tzeng, Po-An Wang, Florian Adriaens et al.
Improved Approximation Algorithms for Individually Fair Clustering
Ali Vakilian, Mustafa Yalciner
Improving Attribution Methods by Learning Submodular Functions
Piyushi Manupriya, Tarun Ram Menta, Sakethanath N. Jagarlapudi et al.
Increasing the accuracy and resolution of precipitation forecasts using deep generative models
Ilan Price, Stephan Rasp
Independent Natural Policy Gradient always converges in Markov Potential Games
Roy Fox, Stephen M. Mcaleer, Will Overman et al.
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations
Winnie Xu, Ricky T. Q. Chen, Xuechen Li et al.
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning
Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone
Investigating the Role of Negatives in Contrastive Representation Learning
Jordan Ash, Surbhi Goel, Akshay Krishnamurthy et al.
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?
Lisha Chen, Tianyi Chen
Iterative Alignment Flows
Zeyu Zhou, Ziyu Gong, Pradeep Ravikumar et al.
Jointly Efficient and Optimal Algorithms for Logistic Bandits
Louis Faury, Marc Abeille, Kwang-Sung Jun et al.
k-experts - Online Policies and Fundamental Limits
Samrat Mukhopadhyay, Sourav Sahoo, Abhishek Sinha
k-Pareto Optimality-Based Sorting with Maximization of Choice
Jean Ruppert, Marharyta Aleksandrova, Thomas Engel
Label differential privacy via clustering
Hossein Esfandiari, Vahab Mirrokni, Umar Syed et al.
Lagrangian manifold Monte Carlo on Monge patches
Marcelo Hartmann, Mark Girolami, Arto Klami
Last Layer Marginal Likelihood for Invariance Learning
Pola Schwöbel, Martin Jørgensen, Sebastian W. Ober et al.