Internal Program Activities Breadcrumb Home Programs & Events Internal Program Activities Upcoming Past View Events by Program - All - View Events by Program No Internal Activities yet. View Events by Program - All -Quantum Research PodModern Paradigms in GeneralizationSublinear AlgorithmsError-Correcting Codes: Theory and PracticeLogic and Algorithms in Database Theory and AIData Structures and Optimization for Fast AlgorithmsAnalysis and TCS: New FrontiersSummer Cluster on Quantum ComputingMeta-ComplexityExtended Reunion: SatisfiabilityData-Driven Decision ProcessesGraph Limits and Processes on Networks: From Epidemics to MisinformationSummer Cluster: AI and HumanitySummer Cluster: Interpretable Machine LearningComputational Innovation and Data-Driven BiologySummer Cluster: Deep Learning TheoryCausalityLearning and GamesGeometric Methods in Optimization and SamplingComputational Complexity of Statistical InferenceTheoretical Foundations of Computer SystemsSatisfiability: Theory, Practice, and BeyondTheory of Reinforcement LearningProbability, Geometry, and Computation in High DimensionsLattices: Algorithms, Complexity, and CryptographyThe Quantum Wave in ComputingProofs, Consensus, and Decentralizing SocietyOnline and Matching-Based Market DesignSummer Cluster: Error-Correcting Codes and High-Dimensional ExpansionFoundations of Deep LearningData Privacy: Foundations and ApplicationsGeometry of PolynomialsFoundations of Data ScienceLower Bounds in Computational ComplexityThe Brain and ComputationReal-Time Decision MakingBridging Continuous and Discrete OptimizationFoundations of Machine LearningPseudorandomnessLogical Structures in ComputationAlgorithms and UncertaintyAlgorithmic Challenges in GenomicsCounting Complexity and Phase TransitionsFine-Grained Complexity and Algorithm DesignEconomics and ComputationCryptographyInformation TheoryAlgorithmic Spectral Graph TheoryAlgorithms and Complexity in Algebraic GeometryEvolutionary Biology and the Theory of ComputingQuantum Hamiltonian ComplexityReal Analysis in Computer ScienceTheoretical Foundations of Big Data Analysis View Events by Program ML Tuesday Seminar ML Tuesday Seminar Foundations of Machine Learning Phil Long (Google) Pseudorandomness/MSRI Seminar Pseudorandomness/MSRI Seminar Pseudorandomness Kevin Ford Pseudorandomness Seminar Pseudorandomness Seminar Pseudorandomness Andrej Bogdanov (Chinese University of Hong Kong) Pseudorandomness Seminar Pseudorandomness Seminar Pseudorandomness Marco Carmosino (IBM Research) Thursday ML Seminar Thursday ML Seminar Foundations of Machine Learning Hamed Hassani Pseudorandomness Seminar Pseudorandomness Seminar Pseudorandomness Amnon Ta-Shma Tuesday ML Seminar Tuesday ML Seminar Foundations of Machine Learning Dawn Song Thursday ML Seminar Thursday ML Seminar Foundations of Machine Learning Csaba Szepesvari (University of Alberta) Tuesday ML Seminar Tuesday ML Seminar Foundations of Machine Learning Benjamin Recht Pseudorandomness/MSRI Seminar Pseudorandomness/MSRI Seminar Pseudorandomness Madhur Tulsiani Pagination First page First Previous page Previous Page 106 Page 107 Current page 108 Page 109 Page 110 Next page Next Last page Last
