1:05:48 How the Web Has Transformed Science and Technology Reporting John Markoff, Simons Institute Journalist in Residenceand Christoph Drösser, independent science writer and editor
https://simons.berkeley.edu/events/ho
56:04 Machine Learning Today and Tomorrow: A Panel Discussion Panelists: Peter Bartlett (UC Berkeley; chair), Shai Ben-David (University of Waterloo), Amin Karbasi (Yale University), Andreas Krause (ETH Zurich)Machine learning has been crucial in developing...
1:00:50 True Complexity of Multilinear Systems Freddie Manners, Stanford Universityhttps://simons.berkeley.edu/talks/freddie-manners-2017-4-14
Structure vs. Randomness
57:05 Unavoidable Patterns in Words David Conlon, University of Oxfordhttps://simons.berkeley.edu/talks/david-conlon-2017-4-14
Structure vs. Randomness
58:07 Labeling the Complete Bipartite Graph with No Zero Cycles Shachar Lovett, UC San Diegohttps://simons.berkeley.edu/talks/shachar-lovett-2017-4-13
Structure vs. Randomness
1:02:09 Positional Games and Randomness Michael Krivelevich, Tel Aviv Universityhttps://simons.berkeley.edu/talks/michael-krivelevich-201...
Structure vs. Randomness
1:04:52 Random High-Dimensional Combinatorial Objects Nati Linial, Hebrew University of Jerusalemhttps://simons.berkeley.edu/talks/nati-linial-2017-4-12
Structure vs. Randomness
44:26 Hidden Irregularity Versus Hidden Structure: The Emergence of the Johnson Graphs Laszlo Babai, University of ChicagoStructure vs. Randomness
https://simons.berkeley.edu/talks/laszlo-babai-2017-4-12-2
1:06:48 Hidden Irregularity Versus Hidden Structure: The Emergence of the Johnson Graphs Laszlo Babai, University of Chicagohttps://simons.berkeley.edu/talks/laszlo-babai-2017-4-12-1
Structure vs. Randomness
35:01 On Structural Properties of Low Threshold Rank Graphs Shayan Oveis-Gharan, University of Washingtonhttps://simons.berkeley.edu/talks/shayan-oveis-gharan-201...
Structure vs. Randomness
1:02:35 Additive Structure of Sets of Fourier Coefficients Thomas Bloom, University of Bristolhttps://simons.berkeley.edu/talks/tom-bloom-2017-4-11
Structure vs. Randomness
1:01:44 Vinogradov's Three Primes Theorem with Primes from Special Sets Kaisa Matomäki, University of Turkuhttps://simons.berkeley.edu/talks/kaisa-matomaki-2017-4-11
Structure vs. Randomness
57:37 The Entropy Decrement Method and the Erdos Discrepancy Problem Terry Tao, UCLAhttps://simons.berkeley.edu/talks/terry-tao-2017-4-11
Structure vs. Randomness
25:39 Sparse Dense Dichotomy and Liquid Graphs Jarik Nesetril, Charles UniversityStructure vs. Randomness
https://simons.berkeley.edu/talks/jarik-nesetril-2017-4-10
29:05 Trading Information Complexity for Error Hamed Hatami, McGill UniversityStructure vs. Randomness
https://simons.berkeley.edu/talks/hamed-hatami-2017-4-10
58:51 Large Deviations for Arithmetic Progressions Yufei Zhao, University of OxfordStructure vs. Randomness
https://simons.berkeley.edu/talks/yufei-zhao-2017-4-10
30:31 Sum of Squares Lower Bounds for Refuting Any CSP Ryan O'Donnell, Carnegie Mellon Universityhttps://simons.berkeley.edu/talks/ryan-odonnell-2017-4-10
Structure vs. Randomness
34:13 Algorithmic Dense Model Theorems and Weak Regularity Russell Impagliazzo, UC San Diegohttps://simons.berkeley.edu/talks/russell-impagliazzo-201...
Structure vs. Randomness
51:05 In Pursuit of Structure: Why a Little Randomness (Almost) Always Helps Julia Wolf (University of Bristol)https://simons.berkeley.edu/events/openlectures2017-spring-3
Simons Institute Open Lecture
20:15 Spotlght Talk: Performance Guarantees for Transferring Representations Daniel McNamara, Australian National UniversityRepresentation Learning
https://simons.berkeley.edu/talks/daniel-mcnamara-2017-03-31
47:18 Word Representation Learning without unk Assumptions Chris Dyer, Carnegie Mellon UniversityRepresentation Learning
https://simons.berkeley.edu/talks/chris-dyer-2017-3-31
42:18 Resilient Representation and Provable Generalization Dawn Song, UC BerkeleyRepresentation Learning
https://simons.berkeley.edu/talks/dawn-song-2017-03-31
1:06:38 Learning Representations for Active Vision Bruno Olshausen, UC BerkeleyRepresentation Learning
https://simons.berkeley.edu/talks/bruno-olshausen-2017-3-31
43:17 Formation and Association of Symbolic Memories in the Brain Christos Papadimitriou, UC BerkeleyRepresentation Learning
https://simons.berkeley.edu/talks/christos-papadimitriou-...
39:44 Learning Paraphrastic Representations of Natural Language Sentences Kevin Gimpel, TTI ChicagoRepresentation Learning
https://simons.berkeley.edu/talks/kevin-gimpel-2017-3-31
41:32 Provably Learning of Noisy-or Networks Rong Ge, Duke UniversityRepresentation Learning
https://simons.berkeley.edu/talks/rong-ge-2017-3-30
1:09:16 Unsupervised Representation Learning Yann LeCun, New York UniversityRepresentation Learning
https://simons.berkeley.edu/talks/yann-lecun-2017-3-30
43:28 Generalization and Equilibrium in Generative Adversarial Nets (GANs) Sanjeev Arora, Princeton UniversityRepresentation Learning
https://simons.berkeley.edu/talks/sanjeev-arora-2017-3-30
42:44 Representation Learning of Grounded Language and Knowledge: with and without End-to-End Learning Yejin Choi, University of WashingtonRepresentation Learning
https://simons.berkeley.edu/talks/yejin-choi-2017-3-30
41:54 Re-Thinking Representational Learning in Robotics and Music Sham Kakade, University of WashingtonRepresentation Learning
https://simons.berkeley.edu/talks/sham-kakad
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