Towards Causal Foundations of Safe AI - Tutorial
Explore causal foundations for safe AI, covering models, fairness, risks, and mitigation strategies to ensure ethical and beneficial AI decision-making.
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning - Session 2
Explore critical analysis of uncertainty quantification in machine learning, examining conditional entropy and mutual information as measures for aleatoric and epistemic uncertainty.
Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty - UAI 2023 Oral Session 2
Explore the effectiveness of credal set volume as a measure of epistemic uncertainty in binary and multi-class classification, highlighting implications for machine learning.
UAI 2023 Poster Spotlights - Advanced Topics in Uncertainty and AI
Explore cutting-edge research in uncertainty and AI, covering topics from point processes and GNN spatial convolutions to variational inference and Bayesian approaches in reinforcement learning.
Comparing Probability Distributions with Conditional Transport
Explore conditional transport as a new divergence for comparing probability distributions, with applications in generative modeling and resistance to mode collapse.
Passive Learning of Causal Strategies in Language Models
Exploring passive learning of causal strategies in AI, including generalization from interventional data and the role of natural language explanations in enhancing causal understanding.
Hypothesis Selection with Computational Constraints
Explore optimal tradeoffs between memory, sample complexity, and time in hypothesis selection algorithms for distribution matching, with focus on achieving near-optimal accuracy efficiently.
Electronic Topology and Correlations in Kagome Metals
Explore electronic topology and correlations in kagome metals, focusing on transition metal stannides and AV3Sb5 family. Discover unique phenomena arising from magnetism, spin-orbit coupling, and geometric frustration.
Studies Around Hydrodynamic Limits in Interacting Particle Systems - Lecture 3
Explore hydrodynamic limits in interacting particle systems with advanced mathematical concepts and techniques. Gain insights into complex systems behavior at the doctorate level.
Studies Around Hydrodynamic Limits in Interacting Particle Systems - Lecture 2
Explore hydrodynamic limits in interacting particle systems through advanced mathematical concepts. Gain insights into complex systems behavior and statistical mechanics.
High-dimensional Statistics and Approximate Message Passing Algorithms - Course 3
Explore high-dimensional statistics and approximate message passing algorithms in this advanced mathematics lecture. Gain insights into cutting-edge research in discrete probability and statistics.
High-dimensional Statistics and Approximate Message Passing Algorithms - Workshop on Randomness and Learning on Networks
Explore high-dimensional statistics and approximate message passing algorithms with expert Cynthia Rush. Gain insights into advanced mathematical concepts and their applications in network analysis and learning.
Convergence of Globally Centered Discrete Snakes
Explore convergence of globally centered discrete snakes in this advanced mathematics talk. Gain insights into discrete probability and network analysis from expert Rivka Mitchell.
Tournaments on Root Systems
Explore tournaments on root systems in discrete probability and statistics. Engage in collaborative research, minicourses, and open problem sessions at IMPA's month-long extended program for mathematicians.
The Number of Random 2-SAT Solutions is Asymptotically Log-Normal
Explore discrete probability and statistics in a month-long program featuring talks, minicourses, and collaborative sessions. Engage with researchers and delve into topics like random 2-SAT solutions.
Errors and Correction in Cumulative Knowledge
Explore discrete probability, statistics, and networks in a month-long program featuring talks, minicourses, and collaborative sessions. Engage with researchers and delve into cutting-edge mathematical concepts.
High-dimensional Statistics and Approximate Message Passing Algorithms - Course 3
Explore high-dimensional statistics and approximate message passing algorithms with Cynthia Rush. Gain insights into advanced mathematical concepts and their applications in probability and statistics.
High-dimensional Statistics and Approximate Message Passing Algorithms - Course 3
Explore high-dimensional statistics and approximate message passing algorithms in this advanced mathematics lecture. Gain insights into cutting-edge research in discrete probability and statistics.
Random Discrete Models - Course 1
Explore random discrete models in this advanced mathematics lecture. Delve into probability theory and network analysis with expert insights from PUC-Chile researcher Dieter Mitsche.
Spectral Perturbation for Quenched Random Open Dynamical Systems
Explore spectral perturbation in quenched random open dynamical systems, focusing on extreme value theory and return-time statistics. Gain insights from expert Gary Froyland's presentation at DinAmicI in Rio.
Rough Paths for Physicists - Thermalization of a Particle in a Magnetic Field - Lecture 4
Explore thermalization of particles in magnetic fields and gain insights into advanced rough path theory applications in physics.