Ben Recht
where else to find them
what they talk about
where they keep going back
no series more than once — all 4 in the filters
on a stage with
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| The Wisdom of the Body Revisited | Unknown Futures of Generalization 2024 | 2024-12-02 |
Argues that many non‑neural networks implement proportional–integral control, modeling blood calcium regulation around ~9 mg/dL as a PI loop and proving that… | ||
| Training on the Test Set and Other Heresies | Frontiers of Deep Learning 2019 | 2019-07-15 |
Claims that huge models always overfit get tested by reproducing CIFAR-10 and ImageNet test sets: researchers resample Tiny Images and rerun Mechanical Turk… | ||
| Robustness, Stochastics, Uncertainty 1 | Bridging Continuous and Discrete Optimization Boot Camp 2017 | 2017-08-21 |
Shows that finite-sample learning guarantees come from concrete optimization tools: Blackwell approachability gives a randomized strategy that matches the… | ||
| Robustness, Stochastics, Uncertainty 2 | Bridging Continuous and Discrete Optimization Boot Camp 2017 | 2017-08-21 |
Shows that projected SGD and online linear optimization give a deterministic 1/√N regret for bounded gradients and that an adaptive stepsize (Adagrad-style)… | ||
| Robustness, Stochastics, Uncertainty 3 | Bridging Continuous and Discrete Optimization Boot Camp 2017 | 2017-08-21 |
Gives a practical tour: shows that tiny implementation noise (example cited: 0.001% error breaks feasibility) ruins some linear-program designs, converts… | ||
| Optimization I | Big Data Boot Camp 2013 | 2013-09-03 |
Covers concrete algorithms and rates: plain gradient descent converges linearly at a rate governed by condition number κ (example κ≈100 needs ~40 steps)… | ||
| Optimization II | Big Data Boot Camp 2013 | 2013-09-03 |
Claim: an S-sparse x0 in R^n is the unique optimal solution of L1 minimization from m Gaussian measurements when m ≥ (1+ε)(2S log n)+S+1 with failure… | ||
| nothing matches | ||