
Announcing the NeurIPS 2022 Awards – NeurIPS Blog
Nov 21, 2022 · We are excited to announce the award-winning papers for NeurIPS 2022! The three categories of awards are Outstanding Main Track Papers, Outstanding Datasets and …
NeurIPS 2022 Awards
We study the scaling limits of stochastic gradient descent (SGD) with constant step-size in the high-dimensional regime. We prove limit theorems for the trajectories of summary statistics …
Aukosh Jagannath wins Outstanding Paper award at NeurIPS 2022
Nov 30, 2022 · Dr. Aukosh Jagannath, assistant professor of Statistics and Actuarial Science and Applied Mathematics at the University of Waterloo, has won a prestigious Outstanding Paper …
NeurIPS Best Paper and Poster Awards
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NeurIPS 2022 Datasets and Benchmarks Track
The 2021 Datasets and Benchmarks track was a big success; you can view the accepted papers from 2021 NeurIPS Datasets and Benchmarks here, and the winners of the best paper awards …
The Best Papers at NeurIPS 2025, Explained | The Neuron
Dec 5, 2025 · The machine learning Olympics just wrapped up, and the winners are addressing the questions keeping AI scientists up at night. NeurIPS, short for Neural Information …
NeurIPS2022 - ΑΙhub, Connecting the AI community and the world ...
Nov 30, 2022 · We share some highlights from the affinity group workshops at NeurIPS 2022. Kartik Chandra, Audrey Xie, Jonathan Ragan-Kelley, Erik Meijer, tell us about their work, …
Oxford Statistics Researchers win Outstanding Paper award at NeurIPS 2022
Nov 30, 2022 · Oxford Statistics researchers Valentin De Bortoli, Emile Mathieu, Michael Hutchinson, James Thornton, Yee Whye Teh and Arnaud Doucet has received an Outstanding …
NeurIPS 2022 Papers
Adversarial Reprogramming Revisited A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs Uncertainty Estimation Using Riemannian Model Dynamics …
Announcing the Best Paper Awards - NeurIPS
Award in Workshop: Synthetic Data for Empowering ML Research Announcing the Best Paper Awards 2022 Award in Workshop: Synthetic Data for Empowering ML Research Player …