Spaces:
Running
Running
Update README.md
Browse files
README.md
CHANGED
@@ -14,6 +14,7 @@ pinned: false
|
|
14 |
### Preprints
|
15 |
|
16 |
- [Large Language Models as Markov Chains](https://huggingface.co/papers/2410.02724): theoretical insights on their generalization and convergence properties.
|
|
|
17 |
|
18 |
### 2024
|
19 |
|
@@ -23,4 +24,11 @@ pinned: false
|
|
23 |
- *(AISTATS'24)* [Leveraging Ensemble Diversity for Robust Self-Training](https://huggingface.co/papers/2310.14814): confidence estimation method for efficient pseudo-labeling under sample selection bias.
|
24 |
- *(JMLR, 2024)* [Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data](https://www.jmlr.org/papers/volume25/23-0121/23-0121.pdf) generalization with unlabeled or pseudo-labeled data.
|
25 |
- *(ICML '24)* [Position: A Call for Embodied AI](https://arxiv.org/abs/2402.03824): position paper on the need for embodied AI research
|
26 |
-
- *(RLC '24)* [A Study of the Weighted Multi-step Loss Impact on the Predictive Error and the Return in MBRL](https://openreview.net/pdf?id=K4VjW7evSV): multi-step loss in MBRL does not work as well as expected
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
14 |
### Preprints
|
15 |
|
16 |
- [Large Language Models as Markov Chains](https://huggingface.co/papers/2410.02724): theoretical insights on their generalization and convergence properties.
|
17 |
+
- [A systematic study comparing hyperparameter optimization engines on tabular data](https://balazskegl.medium.com/navigating-the-maze-of-hyperparameter-optimization-insights-from-a-systematic-study-6019675ea96c)
|
18 |
|
19 |
### 2024
|
20 |
|
|
|
24 |
- *(AISTATS'24)* [Leveraging Ensemble Diversity for Robust Self-Training](https://huggingface.co/papers/2310.14814): confidence estimation method for efficient pseudo-labeling under sample selection bias.
|
25 |
- *(JMLR, 2024)* [Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data](https://www.jmlr.org/papers/volume25/23-0121/23-0121.pdf) generalization with unlabeled or pseudo-labeled data.
|
26 |
- *(ICML '24)* [Position: A Call for Embodied AI](https://arxiv.org/abs/2402.03824): position paper on the need for embodied AI research
|
27 |
+
- *(RLC '24)* [A Study of the Weighted Multi-step Loss Impact on the Predictive Error and the Return in MBRL](https://openreview.net/pdf?id=K4VjW7evSV): multi-step loss in MBRL does not work as well as expected
|
28 |
+
|
29 |
+
### 2023
|
30 |
+
- *(ICML '23)* [Meta Optimal Transport](https://arxiv.org/abs/2206.05262)
|
31 |
+
- *(AAAI '23)* [Unbalanced Co-Optimal Transport](https://arxiv.org/abs/2205.14923)
|
32 |
+
- *(ICML '23)* [Multi-Agent Best Arm Identification with Private Communications](https://proceedings.mlr.press/v202/rio23a.html)
|
33 |
+
- *(ICML '23)* [Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption](https://proceedings.mlr.press/v202/feofanov23a.html)
|
34 |
+
- *(ICML '23)* [PCA-based Multi Task Learning: a Random Matrix Approach](https://proceedings.mlr.press/v202/tiomoko23a/tiomoko23a.pdf)
|