chore: Prepare release v0.17.0

CHANGELOG.md

@@ -8,6 +8,8 @@ changelog does not include internal changes that do not affect the user.
 
 ## [Unreleased]
 
+## [0.17.0] - 2026-06-24
+
 ### Added
 
 - Added `ExcessMTL` and `ExcessMTLWeighting` from [Robust Multi-Task Learning with Excess

README.md

@@ -231,6 +231,7 @@ TorchJD provides many existing aggregators from the literature, listed in the fo
 | [Constant](https://torchjd.org/stable/docs/aggregation/constant#torchjd.aggregation.Constant)              | [ConstantWeighting](https://torchjd.org/stable/docs/aggregation/constant#torchjd.aggregation.ConstantWeighting)        | -                                                                                                                                                                    |
 | -                                                                                                           | [CRMOGMWeighting](https://torchjd.org/stable/docs/aggregation/cr_mogm/#torchjd.aggregation.CRMOGMWeighting)           | [On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond](https://proceedings.neurips.cc/paper_files/paper/2022/file/f91bd64a3620aad8e70a27ad9cb3ca57-Paper-Conference.pdf) |
 | [DualProj](https://torchjd.org/stable/docs/aggregation/dualproj#torchjd.aggregation.DualProj)              | [DualProjWeighting](https://torchjd.org/stable/docs/aggregation/dualproj#torchjd.aggregation.DualProjWeighting)        | [Gradient Episodic Memory for Continual Learning](https://arxiv.org/pdf/1706.08840)                                                                                  |
+| [ExcessMTL](https://torchjd.org/stable/docs/aggregation/excess_mtl#torchjd.aggregation.ExcessMTL)          | [ExcessMTLWeighting](https://torchjd.org/stable/docs/aggregation/excess_mtl#torchjd.aggregation.ExcessMTLWeighting)    | [Robust Multi-Task Learning with Excess Risks](https://proceedings.mlr.press/v235/he24n.html)                                                                        |
 | [FairGrad](https://torchjd.org/stable/docs/aggregation/fairgrad#torchjd.aggregation.FairGrad)              | [FairGradWeighting](https://torchjd.org/stable/docs/aggregation/fairgrad#torchjd.aggregation.FairGradWeighting)        | [Fair Resource Allocation in Multi-Task Learning](https://arxiv.org/pdf/2402.15638)                                                                                  |
 | [GradDrop](https://torchjd.org/stable/docs/aggregation/graddrop#torchjd.aggregation.GradDrop)              | -                                                                                                                      | [Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout](https://arxiv.org/pdf/2010.06808)                                                    |
 | [GradVac](https://torchjd.org/stable/docs/aggregation/gradvac#torchjd.aggregation.GradVac)              | [GradVacWeighting](https://torchjd.org/stable/docs/aggregation/gradvac#torchjd.aggregation.GradVacWeighting)                                                                                                                      | [Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models](https://arxiv.org/pdf/2010.05874)                                                    |

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "torchjd"
-version = "0.16.0"
+version = "0.17.0"
 description = "Library for Jacobian Descent with PyTorch."
 readme = "README.md"
 authors = [