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1

Deep learning at 15PF : supervised and semi-supervised c..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,

Kurth, Thorsten ; Zhang, Jian ; Satish, Nadathur... - p. 1-11 , 2017

Link: https://dl.acm.org/doi/1..

2

FrogWild!: fast PageRank approximations on graph engines:

Mitliagkas, Ioannis ; Borokhovich, Michael ; Dimakis, Alexandros G..
Proceedings of the VLDB Endowment. 8 (2015) 8 - p. 874-885 , 2015

Link: https://doi.org/10.14778..

3

FrogWild! : fast PageRank approximations on graph engine:

Mitliagkas, Ioannis ; Borokhovich, Michael ; Dimakis, Alexandros G..
Proceedings of the VLDB Endowment. 8 (2015) 8 - p. 874-885 , 2015

Link: https://dl.acm.org/doi/1..

4

An Empirical Investigation of Pre-trained Model Selection f..:

Naganuma, Hiroki ; Hataya, Ryuichiro ; Mitliagkas, Ioannis
http://arxiv.org/abs/2307.08187. , 2023

Link: http://arxiv.org/abs/230..

5

No Wrong Turns: The Simple Geometry Of Neural Networks Opti..:

Guille-Escuret, Charles ; Naganuma, Hiroki ; Fatras, Kilian.
http://arxiv.org/abs/2306.11922. , 2023

Link: http://arxiv.org/abs/230..

6

Performative Prediction with Neural Networks:

Mofakhami, Mehrnaz ; Mitliagkas, Ioannis ; Gidel, Gauthier
http://arxiv.org/abs/2304.06879. , 2023

Link: http://arxiv.org/abs/230..

7

Expecting The Unexpected: Towards Broad Out-Of-Distribution..:

Guille-Escuret, Charles ; Noël, Pierre-André ; Mitliagkas, Ioannis..
http://arxiv.org/abs/2308.11480. , 2023

Link: http://arxiv.org/abs/230..

8

Additive Decoders for Latent Variables Identification and C..:

Lachapelle, Sébastien ; Mahajan, Divyat ; Mitliagkas, Ioannis.
http://arxiv.org/abs/2307.02598. , 2023

Link: http://arxiv.org/abs/230..

9

Optimal transport meets noisy label robust loss and MixUp r..:

Fatras, Kilian ; Naganuma, Hiroki ; Mitliagkas, Ioannis
http://arxiv.org/abs/2206.11180. , 2022

Link: http://arxiv.org/abs/220..

10

Empirical Study on Optimizer Selection for Out-of-Distribut..:

Naganuma, Hiroki ; Ahuja, Kartik ; Takagi, Shiro...
http://arxiv.org/abs/2211.08583. , 2022

Link: http://arxiv.org/abs/221..

11

Synergies between Disentanglement and Sparsity: Generalizat..:

Lachapelle, Sébastien ; Deleu, Tristan ; Mahajan, Divyat...
http://arxiv.org/abs/2211.14666. , 2022

Link: http://arxiv.org/abs/221..

12

Towards Out-of-Distribution Adversarial Robustness:

Ibrahim, Adam ; Guille-Escuret, Charles ; Mitliagkas, Ioannis...
http://arxiv.org/abs/2210.03150. , 2022

Link: http://arxiv.org/abs/221..

13

Towards efficient representation identification in supervis..:

Ahuja, Kartik ; Mahajan, Divyat ; Syrgkanis, Vasilis.
http://arxiv.org/abs/2204.04606. , 2022

Link: http://arxiv.org/abs/220..

14

Empirical Analysis of Model Selection for Heterogeneous Cau..:

Mahajan, Divyat ; Mitliagkas, Ioannis ; Neal, Brady.
http://arxiv.org/abs/2211.01939. , 2022

Link: http://arxiv.org/abs/221..

15

A Unified Approach to Reinforcement Learning, Quantal Respo..:

Sokota, Samuel ; D'Orazio, Ryan ; Kolter, J. Zico...
http://arxiv.org/abs/2206.05825. , 2022

Link: http://arxiv.org/abs/220..

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