STCS Seminar
Machine Learning: What is it and Why should we care?
Network Coding Conjecture implies Data Structure Lower Bounds
Optimization for scheduling and beyond, a set covering view of scheduling
Optimal Control Problems with Symmetry Breaking Cost Functions
Fair Cake Division Under Monotone Likelihood Ratios
Learning arithmetic circuits in the average case via lower bounds
Convex Set Disjointness, Distributed Learning of Halfspaces, and Linear Programming
Forecasting and the complexity of randomized algorithms
Hardness Characterisations and Size-Width Lower Bounds for QBF Resolution
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