commit files to HF hub

papers.csv

@@ -263,7 +263,7 @@ Understanding the Complexity Gains of Single-Task RL with a Curriculum,"Qiyang L
 Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control,"Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun",http://arxiv.org/abs/2302.00839,https://github.com/zlin7/FavMac,https://huggingface.co/papers/2302.00839,,,,2302.00839,4,1
 Discrete Key-Value Bottleneck,"Frederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf",http://arxiv.org/abs/2207.11240,,https://huggingface.co/papers/2207.11240,,,,2207.11240,7,0
 Concurrent Shuffle Differential Privacy Under Continual Observation,"Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer",http://arxiv.org/abs/2301.12535,,https://huggingface.co/papers/2301.12535,,,,2301.12535,4,0
-Statistical Learning under Heterogenous Distribution Shift,"Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy",http://arxiv.org/abs/2302.13934,,https://huggingface.co/papers/2302.13934,,,,2302.13934,4,1
+Statistical Learning under Heterogenous Distribution Shift,"Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy",http://arxiv.org/abs/2302.13934,,https://huggingface.co/papers/2302.13934,,,,2302.13934,4,2
 The Power of Learned Locally Linear Models for Nonlinear Policy Optimization,"Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu",http://arxiv.org/abs/2305.09619,,https://huggingface.co/papers/2305.09619,,,,2305.09619,5,0
 Special Properties of Gradient Descent with Large Learning Rates,"Amirkeivan Mohtashami, Martin Jaggi, Sebastian Stich",http://arxiv.org/abs/2205.15142,,https://huggingface.co/papers/2205.15142,,,,2205.15142,3,0
 PAC-Bayesian Offline Contextual Bandits With Guarantees,"Otmane Sakhi, Pierre Alquier, Nicolas Chopin",http://arxiv.org/abs/2210.13132,,https://huggingface.co/papers/2210.13132,,,,2210.13132,3,1