Papers
On Solving Probabilistic Linear Diophantine Equations
Patrick Kreitzberg, Oliver Serang
On the Hardness of Robust Classification
Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska et al.
On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests
Krishnakumar Balasubramanian, Tong Li, Ming Yuan
On the Riemannian Search for Eigenvector Computation
Zhiqiang Xu, Ping Li
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift
Alekh Agarwal, Sham M. Kakade, Jason D. Lee et al.
On Universal Approximation and Error Bounds for Fourier Neural Operators
Nikola Kovachki, Samuel Lanthaler, Siddhartha Mishra
OpenML-Python: an extensible Python API for OpenML
Matthias Feurer, Jan N. van Rijn, Arlind Kadra et al.
Optimal Bounds between f-Divergences and Integral Probability Metrics
Rohit Agrawal, Thibaut Horel
Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression
Behzad Azmi, Dante Kalise, Karl Kunisch
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model
Meiling Hao, Lianqiang Qu, Dehan Kong et al.
Optimal Rates of Distributed Regression with Imperfect Kernels
Hongwei Sun, Qiang Wu
Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates
Tony Cai, Hongzhe Li, Rong Ma
Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives
Michael Muehlebach, Michael I. Jordan
Optimized Score Transformation for Consistent Fair Classification
Dennis Wei, Karthikeyan Natesan Ramamurthy, Flavio P. Calmon
Partial Policy Iteration for L1-Robust Markov Decision Processes
Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
Particle-Gibbs Sampling for Bayesian Feature Allocation Models
Alexandre Bouchard-Côté, Andrew Roth
Path Length Bounds for Gradient Descent and Flow
Chirag Gupta, Sivaraman Balakrishnan, Aaditya Ramdas
Pathwise Conditioning of Gaussian Processes
James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin et al.
PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review
Ivan Stelmakh, Nihar Shah, Aarti Singh
Phase Diagram for Two-layer ReLU Neural Networks at Infinite-width Limit
Tao Luo, Zhi-Qin John Xu, Zheng Ma et al.
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks
Amin Rakhsha, Goran Radanovic, Rati Devidze et al.
POT: Python Optimal Transport
Rémi Flamary, Nicolas Courty, Alexandre Gramfort et al.
Prediction against a limited adversary
Erhan Bayraktar, Ibrahim Ekren, Xin Zhang