Edgar Dobriban - "How to Use Synthetic Data for Improved Statistical Inference?"
UWMadison SILO Seminar
Edgar Dobriban - "How to Use Synthetic Data for Improved Statistical Inference?"
54:40
Joel Paulson - "Leveraging Computational Structure for Efficient and Scalable Decision-Making"
UWMadison SILO Seminar
Joel Paulson - "Leveraging Computational Structure for Efficient and Scalable Decision-Making"
56:54
Vivek Farias - "Preference Modeling for LLM Alignment under Heterogeneity"
UWMadison SILO Seminar
Vivek Farias - "Preference Modeling for LLM Alignment under Heterogeneity"
1:01:51
Adela DePavia - "Understanding and Leveraging Adaptive Algorithms’ Sensitivity to Change-of-Basis"
UWMadison SILO Seminar
Adela DePavia - "Understanding and Leveraging Adaptive Algorithms’ Sensitivity to Change-of-Basis"
51:47
Thiago Serra - Optimization over Trained Neural Networks: Going Large with Gradient-Based Algorithms
UWMadison SILO Seminar
Thiago Serra - Optimization over Trained Neural Networks: Going Large with Gradient-Based Algorithms
54:57
High-dimensional Optimization with Applications to Compute-Optimal Neural Scaling Laws
UWMadison SILO Seminar
High-dimensional Optimization with Applications to Compute-Optimal Neural Scaling Laws
1:01:26
Jiawei Zhang - "First-Order Algorithms for Large-Scale Optimization"
UWMadison SILO Seminar
Jiawei Zhang - "First-Order Algorithms for Large-Scale Optimization"
56:09
Abhishek Panigrahy -"Learning from the Right Teacher in Knowledge Distillation"
UWMadison SILO Seminar
Abhishek Panigrahy -"Learning from the Right Teacher in Knowledge Distillation"
1:00:15
Yao Xie - "Worst-case generation via minimax optimization in Wasserstein space"
UWMadison SILO Seminar
Yao Xie - "Worst-case generation via minimax optimization in Wasserstein space"
1:00:25
Sanjay Shakkottai - "Towards discrete diffusion models for language and image generation"
UWMadison SILO Seminar
Sanjay Shakkottai - "Towards discrete diffusion models for language and image generation"
59:08
Peter Frazier - "Bayesian Preference Exploration: Making Optimization Accessible to Non-Experts"
UWMadison SILO Seminar
Peter Frazier - "Bayesian Preference Exploration: Making Optimization Accessible to Non-Experts"
59:10
Michael W. Mahoney - "Random Matrix Theory and Modern Machine Learning"
UWMadison SILO Seminar
Michael W. Mahoney - "Random Matrix Theory and Modern Machine Learning"
59:42
Sujay Sanghavi - "Faster Diffusion Language Models"
UWMadison SILO Seminar
Sujay Sanghavi - "Faster Diffusion Language Models"
1:02:43
Philip Thomas - "Qualia Optimization: Exploring Mathematical Formulations of AI Experience"
UWMadison SILO Seminar
Philip Thomas - "Qualia Optimization: Exploring Mathematical Formulations of AI Experience"
1:01:26
Allen Liu - "Revealing the Low Rank Structure of Language Models through Sequences of Logits"
UWMadison SILO Seminar
Allen Liu - "Revealing the Low Rank Structure of Language Models through Sequences of Logits"
55:10
Serena Wang - "Relying on the Metrics of Evaluated Agents"
UWMadison SILO Seminar
Serena Wang - "Relying on the Metrics of Evaluated Agents"
1:00:04
Searching for architectures and BERT moments in specialized AI applications
UWMadison SILO Seminar
Searching for architectures and BERT moments in specialized AI applications
57:22
Grigorios Chrysos - "Forgetting sensitive data on open-weight models with guarantees"
UWMadison SILO Seminar
Grigorios Chrysos - "Forgetting sensitive data on open-weight models with guarantees"
1:00:52
Kevin Jamieson - "Some Online Combinatorial Optimization and Dynamic Pricing Problems"
UWMadison SILO Seminar
Kevin Jamieson - "Some Online Combinatorial Optimization and Dynamic Pricing Problems"
59:57
Gavin Brown - "Stable Estimators for Fast Private Statistics"
UWMadison SILO Seminar
Gavin Brown - "Stable Estimators for Fast Private Statistics"
58:43
Oktay Günlük – “Recovering Dantzig-Wolfe Bounds by Cutting Planes”
UWMadison SILO Seminar
Oktay Günlük – “Recovering Dantzig-Wolfe Bounds by Cutting Planes”
53:49
Ben Grimmer - "Optimizing Optimization Methods, To and Beyond Minimax Optimality"
UWMadison SILO Seminar
Ben Grimmer - "Optimizing Optimization Methods, To and Beyond Minimax Optimality"
1:03:38
Trevor Campbell - "Automating Statistical Inference for Modern Probabilistic Models
UWMadison SILO Seminar
Trevor Campbell - "Automating Statistical Inference for Modern Probabilistic Models
57:57
Debdeep Pati - "Variational inference – reconciling statistical and convergence guarantees"
UWMadison SILO Seminar
Debdeep Pati - "Variational inference – reconciling statistical and convergence guarantees"
53:29
Jeff Schneider - "Reinforcement Learning and Bayesian Optimization for Nuclear Fusion"
UWMadison SILO Seminar
Jeff Schneider - "Reinforcement Learning and Bayesian Optimization for Nuclear Fusion"
1:03:36
Ilias Zadik - "Characterizing the power of MCMC methods for sparse estimation"
UWMadison SILO Seminar
Ilias Zadik - "Characterizing the power of MCMC methods for sparse estimation"
1:06:46
Devavrat Shah - “On counterfactual inference with unobserved confounding via exponential family”
UWMadison SILO Seminar
Devavrat Shah - “On counterfactual inference with unobserved confounding via exponential family”
55:59
Arash Amini - "Polynomial Graph Neural Networks: Theoretical Limits and Graph Noise Impact"
UWMadison SILO Seminar
Arash Amini - "Polynomial Graph Neural Networks: Theoretical Limits and Graph Noise Impact"
1:01:52
Kaiqing Zhang - “Towards Principled AI-Agents with Decentralized and Asymmetric Information”
UWMadison SILO Seminar
Kaiqing Zhang - “Towards Principled AI-Agents with Decentralized and Asymmetric Information”
1:03:50
Alberto Del Pia - “Minimizing quadratics over integers”
UWMadison SILO Seminar
Alberto Del Pia - “Minimizing quadratics over integers”
52:58
Jean Kossaifi - "Neural Operators for Scientific Applications: Learning on Function Spaces“
UWMadison SILO Seminar
Jean Kossaifi - "Neural Operators for Scientific Applications: Learning on Function Spaces“
54:16
Sandeep Silwal - "Efficiently searching for distributions"
UWMadison SILO Seminar
Sandeep Silwal - "Efficiently searching for distributions"
41:52
Dimitris Papailiopoulos - "Self-Improving Transformers: Overcoming Length Generalization Challenges"
UWMadison SILO Seminar
Dimitris Papailiopoulos - "Self-Improving Transformers: Overcoming Length Generalization Challenges"
53:37