معرفی
Prakhar Verma is a Doctoral Researcher at Aalto University, specializing in machine learning and probabilistic modeling. His work focuses on Gaussian processes, stochastic differential equations, and their applications in sequential learning and Bayesian optimization.
Research Interests:
- Probabilistic modeling with Gaussian processes
- Scalable inference for stochastic differential equations
- Bayesian optimization and active learning techniques
- Sequential learning with memory-based approaches
- Mathematical modeling of continuous-time systems
- Computational statistics for high-dimensional data
Collaborations: He collaborates with researchers like Arno Solin, Vincent Adam, Paul E. Chang, Ti John, and Victor Picheny. His publications span conferences such as NeurIPS, ICML, and AISTATS.
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