Communications and Signal Processing Seminar

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 9

3:30 pm - 5:00 pm

Sparsity for Efficient Long Sequence Generation of LLMs

Nov 16

3:30 pm - 5:00 pm

Rethinking the theoretical foundation of reinforcement learning

Nov 30

3:30 pm - 5:00 pm

(CANCELED) Discrete Optimization for Adversarial Attacks on Large Language Models

Dec 7

3:30 pm - 5:00 pm

Flat Minima Generalize for Low-Rank Matrix Recovery

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

Jan 25

3:30 pm - 4:30 pm

Transfer learning for contextual multi-armed bandits

Jan 26

1:30 pm - 2:30 pm

Foundation Models AAA: Acceleration, Application, Adversary

Feb 1

3:30 pm - 4:30 pm

On False Positive Error

Feb 8

3:30 pm - 4:30 pm

Re-engineering the Uplink for Next Generation Multiple Access

Feb 15

3:30 pm - 4:30 pm

Select Topics Associated with 3D Scanning by Means of Structured Light Illumination

Mar 7

3:30 pm - 4:30 pm

Formal privacy guarantees for optimization datasets in power systems

Mar 14

3:30 pm - 4:30 pm

Image Restoration through Inversion by Direct Iteration (InDI)

Mar 21

3:30 pm - 4:30 pm

Distributed learning on correlated data with communication constraints

Mar 28

3:30 pm - 4:30 pm

Cancelled

Apr 11

3:30 pm - 4:30 pm

Edge and IoT-supported Intelligent Augmented Reality: Promise, Challenges, and Solutions

Apr 18

3:30 pm - 4:30 pm

Data-Analytic Opportunities and Challenges in Solar Eruption Forecasting

Jun 7

2:00 pm - 3:00 pm

Stochastic Optimisation Methods Applied to Image Reconstruction: results, software and outlook.

Jun 13

4:00 pm - 5:00 pm

Novel Technologies for Accelerated MRI

Aug 29

3:30 pm - 4:30 pm

Interdependent privacy in third-party apps: past, present, and future

Sep 5

3:30 pm - 4:30 pm

Permutation-Free Kernel Hypothesis Tests

Sep 12

3:30 pm - 4:30 pm

Computational Imaging through Atmospheric Turbulence

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 3

3:30 pm - 4:30 pm

Approximate independence of permutation mixtures

Oct 10

3:30 pm - 4:30 pm

Toward (Truly) Resilient Computing and Communications in 6G Mobile Systems

Oct 11

3:30 pm - 4:30 pm

Domain Counterfactuals for Explainability, Fairness, and Domain Generalization

Oct 17

3:30 pm - 4:30 pm

Label Noise: Ignorance is Bliss

Oct 24

3:30 pm - 4:30 pm

Deep Representation Interface for Engineering Problems

Oct 31

3:30 pm - 4:30 pm

What’s in my networks? On learned proximals and testing for interpretations

Nov 14

3:30 pm - 4:30 pm

Adventures in PCA for Heterogeneous Data: Optimal Weights and Rank Estimation

Nov 21

3:30 pm - 4:30 pm

Quantum Bayesian Framework for Efficient Storage of Quantum Information

Dec 5

3:30 pm - 4:30 pm

Recent Advances in Average-Reward Restless Bandits

Dec 6

1:30 pm - 2:30 pm

Transformer Meets Nonparametric Kernel Regression

Jan 23

3:30 pm - 4:30 pm

How to make the gradient descent-ascent converge to local minimax optima

Jan 30

3:30 pm - 4:30 pm

Mixed Reality Security and Streaming at the System and Application Levels

Feb 6

3:30 pm - 4:30 pm

Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

Feb 13

3:30 pm - 4:30 pm

Enhancing Fairness in Deep Learning from Data and Model Perspectives

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

Mar 20

3:30 pm - 4:30 pm

Emergence and grokking in “simple” architectures

Apr 3

3:30 pm - 4:30 pm

Machine Unlearning for Generative AI

Apr 10

3:30 pm - 4:30 pm

Setup Times in Multiserver Systems: New Insights

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

Jul 21

10:00 am - 11:00 am

Guiding Diffusion and Flow Models for Constrained Sampling in Image, Video and 4D