talks
Recent research talks on machine learning, discrete optimization, combinatorial optimization, and algorithmic reasoning.
- Reliable Machine Learning for Discrete Decision-Making
- (2026) Workshop on Algorithms for Learning and Economics (WALE)
- Survey on Machine Learning for Combinatorial Optimization
- (2026) Highlights of Algorithms (HALG)
- Can LLMs Reason Structurally? Benchmarking via the Lens of Data Structures
- (2026) Simons Institute for the Theory of Computing, Workshop on the Role of TCS in Modern Machine Learning
- Machine Learning for Discrete Optimization: Theoretical Foundations
- (2026) University of California, San Diego, Institute for Learning-enabled Optimization at Scale Seminar
- (2026) University of Illinois Chicago, Information and Decision Sciences Seminar
- (2026) Yale, Foundations of Data Science Colloquium
- (2026) University of Pennsylvania, ASSET Center Seminar
- (2025) University of Massachusetts Amherst, Computer Science Theory Seminar