Papers
Hard Shape-Constrained Kernel Machines
Pierre-Cyril Aubin-Frankowski, Zoltan Szabo
Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates
Wenhao Luo, Wen Sun, Ashish Kapoor
Achieving Equalized Odds by Resampling Sensitive Attributes
Yaniv Romano, Stephen Bates, Emmanuel Candes
Efficient Contextual Bandits with Continuous Actions
Maryam Majzoubi, Chicheng Zhang, Rajan Chari et al.
Learning Composable Energy Surrogates for PDE Order Reduction
Alex Beatson, Jordan Ash, Geoffrey Roeder et al.
Coresets for Regressions with Panel Data
Lingxiao Huang, K Sudhir, Nisheeth Vishnoi
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization
Pierluca D'Oro, Wojciech Jaśkowski
Minimax Classification with 0-1 Loss and Performance Guarantees
Santiago Mazuelas, Andrea Zanoni, Aritz Pérez
A Causal View on Robustness of Neural Networks
Cheng Zhang, Kun Zhang, Yingzhen Li
Quantitative Propagation of Chaos for SGD in Wide Neural Networks
Valentin De Bortoli, Alain Durmus, Xavier Fontaine et al.
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf et al.
The Statistical Complexity of Early-Stopped Mirror Descent
Tomas Vaskevicius, Varun Kanade, Patrick Rebeschini
Stein Self-Repulsive Dynamics: Benefits From Past Samples
Mao Ye, Tongzheng Ren, Qiang Liu
Statistical Guarantees of Distributed Nearest Neighbor Classification
Jiexin Duan, Xingye Qiao, Guang Cheng
Reciprocal Adversarial Learning via Characteristic Functions
Shengxi Li, Zeyang Yu, Min Xiang et al.
Deep reconstruction of strange attractors from time series
William Gilpin
Permute-and-Flip: A new mechanism for differentially private selection
Ryan McKenna, Daniel R. Sheldon
Improving Local Identifiability in Probabilistic Box Embeddings
Shib Dasgupta, Michael Boratko, Dongxu Zhang et al.
Cascaded Text Generation with Markov Transformers
Yuntian Deng, Alexander Rush
Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering
Long Chen, Yuan Yao, Feng Xu et al.
Adversarially Robust Streaming Algorithms via Differential Privacy
Avinatan Hasidim, Haim Kaplan, Yishay Mansour et al.
Synbols: Probing Learning Algorithms with Synthetic Datasets
Alexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron et al.
Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds
Nicholas Harvey, Christopher Liaw, Tasuku Soma
Fourier Sparse Leverage Scores and Approximate Kernel Learning
Tamas Erdelyi, Cameron Musco, Christopher Musco
PyGlove: Symbolic Programming for Automated Machine Learning
Daiyi Peng, Xuanyi Dong, Esteban Real et al.