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 IML Reading Group IML Reading Group Summer Cluster: Interpretable Machine Learning Coordinated by Michal Moshkovitz and Sebastian Bordt. Random Matrix and Deep Learning Reading Group Random Matrix and Deep Learning Reading Group Summer Cluster: Deep Learning Theory Coordinated by Yizhe Zhu AI & Humanity Cluster Gathering AI & Humanity Cluster Gathering Summer Cluster: AI and Humanity 1PM Speaker Bin Yu IML Survey of Recent Interpretability Literature IML Survey of Recent Interpretability Literature Summer Cluster: Interpretable Machine Learning Coordinated by Sebastian Bordt. Deep Learning Theory Open Problems Session Deep Learning Theory Open Problems Session Summer Cluster: Deep Learning Theory Coordinated by Raphaël Berthier. IML Methods Reading Group IML Methods Reading Group Summer Cluster: Interpretable Machine Learning Coordinated by Gyorgy Turan and Anmol Kabra. IML Seminar IML Seminar Summer Cluster: Interpretable Machine Learning Speaker Rich Caruana. Deep Learning Theory Seminar Deep Learning Theory Seminar Summer Cluster: Deep Learning Theory Coordinated by Parthe Pandit IML Causal Explainability Reading Group IML Causal Explainability Reading Group Summer Cluster: Interpretable Machine Learning Coordinated by Awa Dieng. AI & Humanity Cluster Gathering AI & Humanity Cluster Gathering Summer Cluster: AI and Humanity Pagination First page First Previous page Previous Page 37 Page 38 Current page 39 Page 40 Page 41 Next page Next Last page Last
