ICML 2024 — 41th International Conference on Machine Learning

Topics of interest include (but are not limited to):

• General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, time series analysis, etc.)
• Deep Learning (architectures, generative models, deep reinforcement learning, etc.)
• Learning Theory (bandits, game theory, statistical learning theory, etc.)
• Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.)
• Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods, etc.)
• Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness, etc.)
• Applications (computational biology, crowdsourcing, healthcare, neuroscience, social good, climate science, etc.)