Elad Hazan
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what they talk about
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| title | conference | date |
|---|---|---|
| Escape Hyper‑V: The New Agentless Path to OpenShift Virtualization | DevConf.CZ 2026 | 2026-06-18 |
Migration Toolkit for Virtualization (Forklift) now connects to Hyper‑V without agents, using WinRM remoting for live VM discovery and SMB or iSCSI disk… | ||
| Reducing the Dimension of Language: A Spectral Perspective on Transformers | The Future of Language Models and Transformers 2025 | 2025-03-31 |
Argues that sequence data can come from high‑dimensional linear dynamical systems yet admit a low‑dimensional spectral representation (about 30 effective… | ||
| A Regret Minimization Approach to Mutli-Agent Control and RL | Multi-Agent Reinforcement Learning and Bandit Learning | 2022-04-29 |
Claim: multi-agent control reduces to distributed online convex optimization by linearize global cost into local gradients and letting each actuator run a… | ||
| Optimization for Machine Learning I | Foundations of Machine Learning Boot Camp 2017 | 2017-01-23 |
Casts learning as optimization over parameters and proves convex relaxations let local gradient info give global guarantees; uses stochastic gradient descent… | ||
| Optimization for Machine Learning II | Foundations of Machine Learning Boot Camp 2017 | 2017-01-23 |
AdaGrad is presented as the adaptive regularizer used in practice for deep nets; stochastic gradient descent needs O(1/epsilon^2) iterations while smooth full… | ||
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