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Communications and Signal Processing Seminar

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  2. Communications and Signal Processing Seminar

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Today
Sep 16
4:00 pm - 5:00 pm

The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces

Sep 23
4:00 pm - 5:00 pm

Towards Model Agnostic Robustness

Oct 1
9:30 am - 10:30 am

Database Alignment: Fundamental Limits and Efficient Algorithms

Oct 7
4:00 pm - 5:00 pm

Secure Model Aggregation in Federated Learning

Oct 15
9:30 am - 10:30 am

Social Learning in Multi-Agent, Multi-Armed Bandits

Oct 21
11:00 am - 12:00 pm

Communication and Sensing: From Compressed Sampling to Model-based Deep Learning

Oct 28
4:00 pm - 5:00 pm

Interactive Communications

Nov 4
4:00 pm - 5:00 pm

Spectrum Sharing for 5G and Beyond: A Network Economics View

Nov 11
4:00 pm - 5:00 pm

Learning More from the Past: Offline Batch RL

Nov 18
12:00 pm - 1:00 pm

Finding Global Minima via Kernel Approximations

Dec 2
4:00 pm - 5:00 pm

Generalization and Inductive Bias in Neural Networks

Dec 9
4:00 pm - 5:00 pm

Data-Centric Networking: Theory, Algorithms and Applications

Jan 6
4:00 pm - 5:00 pm

Data-driven and Learning-based Methods for Control: Challenges and New Horizons

Jan 13
4:00 pm - 5:00 pm

Sequential Decision Making: How Much Adaptivity Is Needed Anyways?

Jan 20
4:00 pm - 5:00 pm

Surprises in High-Dimensional (Overparameterized) Linear Classification

Jan 27
4:00 pm - 5:00 pm

KO Codes

Sep 8
4:00 pm - 5:00 pm

Blessing of Nonconvexity in Factorized Models

Sep 15
4:00 pm - 5:00 pm

Principles of Deep Representation Learning via Neural Collapse

Sep 22
4:00 pm - 5:00 pm

Robust Learning by Double Over-Parameterization

Oct 6
4:00 pm - 5:00 pm

A New Embedding Framework to Design Consistent Surrogate Losses

Oct 13
4:00 pm - 5:00 pm

Method of Moments: From Sample Complexity to Efficient Implicit Computations

Oct 20
4:00 pm - 5:00 pm

Sparse Neural Networks: From Practice to Theory

Oct 27
4:00 pm - 5:00 pm

Accelerating Ill-conditioned Low-rank Estimation via Scaled Gradient Descent

Nov 3
4:00 pm - 5:00 pm

Learning from Noisy Labels without Knowing Noise Rates

Nov 10
4:00 pm - 5:00 pm

Opportunistic Integrated Communication and Weather Sensing

Nov 17
4:00 pm - 5:00 pm

Advancing Machine Learning for Imaging: Regularization and Robustness

Dec 8
4:00 pm - 5:00 pm

Deep Networks and the Multiple Manifold Problem

Jan 12
9:00 am - 10:00 pm

Dynamic Pricing and Matching for Online Marketplaces

Feb 2
9:15 am - 10:15 am

Reinforcement Learning with Robustness and Safety Guarantees

Feb 9
9:15 am - 10:15 am

Understanding the Universality Phenomenon in High- Dimensional Estimation and Learning: Some Recent Progress

Feb 16
9:15 am - 10:15 am

Evaluating Unsupervised Denoising Requires Unsupervised Metrics

Feb 23
9:15 am - 10:15 am

Cancelled: Implicit Geometry of Large Classification Models: Imbalance Trouble

Mar 16
9:15 am - 10:15 am

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

Mar 23
9:15 am - 10:15 am

Explainable AI via Semantic Information Pursuit

Mar 30
9:15 am - 10:15 am

Deep Learning Meets Sparse Regularization: A Signal Processing Perspective

Apr 6
9:15 am - 10:15 am

Best of three worlds? Bias and extrapolation in constant-step size stochastic approximation

Apr 20
9:15 am - 10:15 am

Machine Learning challenges in Metrology in Semiconductor Device Industry

May 8
3:00 pm - 4:00 pm

Demystifying and Mitigating Unfairness for Machine Learning over Graphs

Aug 2
10:00 am - 11:00 am

Setup Times in Multiserver Systems

Sep 7
3:30 pm - 5:00 pm

On the Emergence of Invariant Low-Dimensional Subspaces in Gradient Descent for Learning Deep Networks

Sep 15
11:00 am - 12:30 pm

On an Asymptotic Criterion for Blockchain Design

Sep 21
3:30 pm - 5:00 pm

Quantum Signal Processing

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 2
9:00 am - 10:30 am

Wireless is back: The 6G Revolution Towards Connected Intelligence

Oct 5
3:30 pm - 5:00 pm

Transformers as Support Vector Machines

Oct 12
3:30 pm - 5:00 pm

Theoretical Characterization of Forgetting and Generalization of Continual Learning

Oct 19
3:30 pm - 5:00 pm

How Hessian Structure Explains Mysteries in Sharpness Regularization

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

Jun 17
2:00 pm - 3:00 pm

Learning to detect an anomalous Markov process

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