Papers
Optimized Score Transformation for Fair Classification
Dennis Wei, Karthikeyan Natesan Ramamurthy, Flavio Calmon
Optimizing Millions of Hyperparameters by Implicit Differentiation
Jonathan Lorraine, Paul Vicol, David Duvenaud
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization
Kenji Kawaguchi, Haihao Lu
Ordering-Based Causal Structure Learning in the Presence of Latent Variables
Daniel Bernstein, Basil Saeed, Chandler Squires et al.
Orthogonal Gradient Descent for Continual Learning
Mehrdad Farajtabar, Navid Azizan, Alex Mott et al.
OSOM: A simultaneously optimal algorithm for multi-armed and linear contextual bandits
Niladri Chatterji, Vidya Muthukumar, Peter Bartlett
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes
Li-Fang Cheng, Bianca Dumitrascu, Michael Zhang et al.
Permutation Invariant Graph Generation via Score-Based Generative Modeling
Chenhao Niu, Yang Song, Jiaming Song et al.
Persistence Enhanced Graph Neural Network
Qi Zhao, Ze Ye, Chao Chen et al.
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures
Mathieu Carriere, Frederic Chazal, Yuichi Ike et al.
POPCORN: Partially Observed Prediction Constrained Reinforcement Learning
Joseph Futoma, Michael Hughes, Finale Doshi-Velez
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information
Esther Rolf, Michael I. Jordan, Benjamin Recht
Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes
Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder et al.
Precision-Recall Curves Using Information Divergence Frontiers
Josip Djolonga, Mario Lucic, Marco Cuturi et al.
Prediction Focused Topic Models via Feature Selection
Jason Ren, Russell Kunes, Finale Doshi-Velez
Prior-aware Composition Inference for Spectral Topic Models
Moontae Lee, David Bindel, David Mimno
Private k-Means Clustering with Stability Assumptions
Moshe Shechner, Or Sheffet, Uri Stemmer
Private Protocols for U-Statistics in the Local Model and Beyond
James Bell, Aurélien Bellet, Adria Gascon et al.
Prophets, Secretaries, and Maximizing the Probability of Choosing the Best
Hossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier et al.
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models
Benjamin Lengerich, Sarah Tan, Chun-Hao Chang et al.
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space
Quentin Mérigot, Alex Delalande, Frederic Chazal
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free
Mingrui Zhang, Lin Chen, Aryan Mokhtari et al.
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
Sebastian Farquhar, Michael A. Osborne, Yarin Gal
Randomized Exploration in Generalized Linear Bandits
Branislav Kveton, Manzil Zaheer, Csaba Szepesvari et al.
RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization
Prathamesh Mayekar, Himanshu Tyagi