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# Frederic Koehler

Ph.D

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My current research interests include learning theory and related topics: probability theory, high-dimensional statistics, optimization, related aspects of statistical physics, etc. In particular, I am very interested in learning and inference in graphical models.

## Papers25 papers

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NIPS 2020, (2020)

NIPS 2020, (2020)

Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, (2019): 828-839

international conference on learning representations, (2019)

COLT, (2019): 1756-1771

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 8329-8339

Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, (2019): 1226-1236

RECOMB, pp.136-157, (2019)

arXiv: Learning, (2018)

COLT, (2018): 1395-1419

COLT, (2018): 1326-1347

Workshop on Algorithms and Data Structures, pp.521-532, (2017)

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