Oct 21 11:00 am - 12:00 pm Communication and Sensing: From Compressed Sampling to Model-based Deep Learning
Jan 6 4:00 pm - 5:00 pm Data-driven and Learning-based Methods for Control: Challenges and New Horizons
Oct 13 4:00 pm - 5:00 pm Method of Moments: From Sample Complexity to Efficient Implicit Computations
Oct 27 4:00 pm - 5:00 pm Accelerating Ill-conditioned Low-rank Estimation via Scaled Gradient Descent
Feb 9 9:15 am - 10:15 am Understanding the Universality Phenomenon in High- Dimensional Estimation and Learning: Some Recent Progress
Feb 23 9:15 am - 10:15 am Cancelled: Implicit Geometry of Large Classification Models: Imbalance Trouble
Mar 21 10:00 am - 11:00 am Load Balancing under Data Locality: Extending Mean-Field Framework to Constrained Large-Scale Systems
Apr 6 9:15 am - 10:15 am Best of three worlds? Bias and extrapolation in constant-step size stochastic approximation
Sep 7 3:30 pm - 5:00 pm On the Emergence of Invariant Low-Dimensional Subspaces in Gradient Descent for Learning Deep Networks
Sep 22 3:30 pm - 5:00 pm Integrated Sensing and Communication: aspects from Information Theory, Communication Theory, and Machine Learning
Sep 28 3:30 pm - 5:00 pm Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
Oct 12 3:30 pm - 5:00 pm Theoretical Characterization of Forgetting and Generalization of Continual Learning
Oct 26 3:30 pm - 5:00 pm Breaking the Sample Size Barrier in Reinforcement Learning via Model-Based Algorithms
Nov 2 3:30 pm - 5:00 pm Overparameterization and Global Optimality in Nonconvex Low-Rank Matrix Estimation and Optimization
Nov 30 3:30 pm - 5:00 pm (CANCELED) Discrete Optimization for Adversarial Attacks on Large Language Models
Dec 8 3:30 pm - 4:30 pm Towards a Theoretical Understanding of Parameter-Efficient Fine-Tuning (and Beyond)
Jan 18 3:30 pm - 4:30 pm Accelerated Optimization for Dynamic MRI Reconstruction with Locally Low-Rank Regularizers
Feb 15 3:30 pm - 4:30 pm Select Topics Associated with 3D Scanning by Means of Structured Light Illumination
Apr 11 3:30 pm - 4:30 pm Edge and IoT-supported Intelligent Augmented Reality: Promise, Challenges, and Solutions
Jun 7 2:00 pm - 3:00 pm Stochastic Optimisation Methods Applied to Image Reconstruction: results, software and outlook.
Sep 19 3:30 pm - 4:30 pm A Statistical Framework for Private Personalized Federated Learning and Estimation
Sep 26 3:30 pm - 4:30 pm Understanding Distribution Learning of Diffusion Models via Low-dimensional Modeling
Oct 11 3:30 pm - 4:30 pm Domain Counterfactuals for Explainability, Fairness, and Domain Generalization
Nov 14 3:30 pm - 4:30 pm Adventures in PCA for Heterogeneous Data: Optimal Weights and Rank Estimation
Feb 6 3:30 pm - 4:30 pm Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
Feb 20 3:30 pm - 4:30 pm Improved very sparse matrix completing using an intentionally randomized “asymmetric SVD”
Mar 12 11:00 am - 12:00 pm ADVANCING IMAGE RECONSTRUCTION AND RESTORATION THROUGH ROBUST SUPERVISED AND GENERATIVE MODELS
Mar 13 3:30 pm - 4:30 pm Exploring and Mitigating Safety Risks in Large Language Models and Generative AI
Mar 18 1:30 pm - 2:30 pm Training-free approaches for image inversion and editing using latent generative models
Apr 17 3:30 pm - 4:30 pm Canceled Rescheduling To Fall 2025 On the computation of Stackelberg and Nash equilibria and their variants
May 21 11:00 am - 12:00 pm Behavior of Gradient-Based Optimization Methods in Nonconvex Landscapes: A Dynamical Systems Perspective
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