Invited Talks, Poster, and Oral Sessions

Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs

1. Talk at Nokia, 2025-01-29, Nokia - Bell Labs, Stuttgard
2. Talk at University of Milan, 2025-02-26, Milan, Italy
3. Talk at Anima Anandkumar’s Lab, 2025-03-05, Caltech, Pasadena
4. Oral at International Conference on Artificial Intelligence and Statistics 2025, 2025-05-03, Splash Beach Resort in Mai Khao, Thailand

Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise

1. Talk at EthonAI, 2024-05-29, EthonAI, Zürich
2. Talk at University of Freiburg - Machine Learning Lab, 2025-01-16, University of Freiburg, Freiburg
3. Poster at International Conference on Learning Representations 2025, 2025-04-24, Singapore EXPO, Singapore

SDEs for Minimax Optimization

1. Talk at Yahoo! Research Series, 2024-03-12, Yahoo! Research, Web Presentation
2. Poster at International Conference on Artificial Intelligence and Statistics 2024, 2024-05-04, Palacio de Congresos Valencia, Valencia, ES

An SDE for Modeling SAM: Theory and Insights

1. Talk at Connections between Stochastic Calculus, Statistical Physics, and Optimization: ELISE Research Workshop of the Program ‘Theory, Algorithms and Computations of Modern Learning Systems’, 2023-06-22, University of Tübingen, Tübingen, Germany
2. Talk at Yahoo! Research Series, 2023-07-17, Yahoo! Research, München, Germany
3. Poster at International Conference on Machine Learning 2023, 2023-07-27, Hawaii Convention Center, Hawaii, US
4. Poster, Scientific Advisory Boards der Universität Basel, 2023-11-27, University of Basel, Basel, Switzerland

On the Effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics

1. Talk at Quant Research Series, 2022-09-30, UBS AG, Zürich, Switzerland
2. Talk at Monte Verità - Data Science Workshop 2022, 2022-10-03, Monte Verità, Ticino, Switzerland
3. Talk, 2023-02-10, Università degli Studi di Milano, Milan, Italy