54:08"(Almost) Ruling Out SETH Lower Bounds for All-Pairs Max-Flow" - Ohad Trabelsi, Research at TTIC
A 54-minute video from TTIC: “"(Almost) Ruling Out SETH Lower Bounds for All-Pairs Max-Flow" - Ohad Trabelsi, Research at TTIC”.
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54:08
55:16"A Menagerie of Problems in Combinatorics" – Alexander Razborov, Research at TTIC
A 55-minute video from TTIC: “"A Menagerie of Problems in Combinatorics" – Alexander Razborov, Research at TTIC”.
1:04:01"A Principled Approach to Randomized Selection under Uncertainty" – Nihar Shah
A 64-minute video from TTIC: “"A Principled Approach to Randomized Selection under Uncertainty" – Nihar Shah”.
1:01:24"A Quest for an Algorithmic Theory for High-Dimensional Statistical Inference" - Sidhanth Mohanty
A 61-minute video from TTIC: “"A Quest for an Algorithmic Theory for High-Dimensional Statistical Inference" - Sidhanth Mohanty”.
1:00:47"A Statistical View on Implicit Regularization: Gradient Descent Dominates Ridge" – Jingfeng Wu
A 61-minute video from TTIC: “"A Statistical View on Implicit Regularization: Gradient Descent Dominates Ridge" – Jingfeng Wu”.
57:22"A Theoretical Computer Science Perspective on Consciousness and Artificial General Intelligence"
A 57-minute video from TTIC: “"A Theoretical Computer Science Perspective on Consciousness and Artificial General Intelligence"”.
1:03:45"A/B Testing Recommendation Algorithms under Data Sharing" – Jingyan Wang, Research at TTIC
A 64-minute video from TTIC: “"A/B Testing Recommendation Algorithms under Data Sharing" – Jingyan Wang, Research at TTIC”.
59:18"AI Safety Through Interpretable and Controllable Language Models" - Peter Hase, YRSS
A 59-minute video from TTIC: “"AI Safety Through Interpretable and Controllable Language Models" - Peter Hase, YRSS”.
53:40"AI Slop, SGD, and Multi-Index Models" – Ohad Shamir, Colloquium
A 54-minute video from TTIC: “"AI Slop, SGD, and Multi-Index Models" – Ohad Shamir, Colloquium”.
36:56"Advances in Privacy-Preserving Machine Learning" - Lingxiao Wang, Research at TTIC
A 37-minute video from TTIC: “"Advances in Privacy-Preserving Machine Learning" - Lingxiao Wang, Research at TTIC”.
55:04"Algorithm Design in the AI Age: Fairness & Learning-Augmented" - Ali Vakilian, Research at TTIC
A 55-minute video from TTIC: “"Algorithm Design in the AI Age: Fairness & Learning-Augmented" - Ali Vakilian, Research at TTIC”.
53:55"An Egocentric Approach to Social AI" - Jim Rehg, Colloquium
A 54-minute video from TTIC: “"An Egocentric Approach to Social AI" - Jim Rehg, Colloquium”.
44:46"Approximation Guarantees for Data-Driven Algorithm Design" – Avrim Blum, Research at TTIC
A 45-minute video from TTIC: “"Approximation Guarantees for Data-Driven Algorithm Design" – Avrim Blum, Research at TTIC”.
57:58"Automating Mathematics in the age of LLMs" - David McAllester, Research at TTIC
A 58-minute video from TTIC: “"Automating Mathematics in the age of LLMs" - David McAllester, Research at TTIC”.
42:49"Balanced Filtering Via Disclosure-Controlled Proxies" - Emily Diana, Research at TTIC
A 43-minute video from TTIC: “"Balanced Filtering Via Disclosure-Controlled Proxies" - Emily Diana, Research at TTIC”.
54:28"Bayesian Strategic Classification" - Saeed Sharifi-Malvajerdi, Research at TTIC
A 54-minute video from TTIC: “"Bayesian Strategic Classification" - Saeed Sharifi-Malvajerdi, Research at TTIC”.
1:00:53"Behavior prediction for interacting entities from video observations" - Shiry Ginosar
A 61-minute video from TTIC: “"Behavior prediction for interacting entities from video observations" - Shiry Ginosar”.
43:48"Can NNs Learn Generalizable Algorithmic Procedures?" – Yusu Wang, LAMP
A 44-minute video from TTIC: “"Can NNs Learn Generalizable Algorithmic Procedures?" – Yusu Wang, LAMP”.
55:17"Comparing autonomous driving algorithms with the human drivers" - Kaylene Stocking, YRSS
A 55-minute video from TTIC: “"Comparing autonomous driving algorithms with the human drivers" - Kaylene Stocking, YRSS”.
54:29"Computer Vision Beyond Task Performance" – Raymond Yeh, TTIC Colloquium
A 54-minute video from TTIC: “"Computer Vision Beyond Task Performance" – Raymond Yeh, TTIC Colloquium”.
55:01"Computing Small Volume Confidence Set for Arbitrary Distribution" - Liren Shan, Research at TTIC
A 55-minute video from TTIC: “"Computing Small Volume Confidence Set for Arbitrary Distribution" - Liren Shan, Research at TTIC”.
19:11"Conservative Classifiers Do Consistently Well with Improving Agents" – Alec Sun, LAMP
A 19-minute video from TTIC: “"Conservative Classifiers Do Consistently Well with Improving Agents" – Alec Sun, LAMP”.
55:02"Contagion Control-Policy Games" – Sanjiv Kapoor, TTIC Colloquium
A 55-minute video from TTIC: “"Contagion Control-Policy Games" – Sanjiv Kapoor, TTIC Colloquium”.
48:22"Controlled Rearing of Language Models can Reveal Linguistic Insight" - Gil Kur, Talks at TTIC
A 48-minute video from TTIC: “"Controlled Rearing of Language Models can Reveal Linguistic Insight" - Gil Kur, Talks at TTIC”.
1:04:24"Controlled Rearing of Language Models can Reveal Linguistic Insight" - Kanishka Misra
A 64-minute video from TTIC: “"Controlled Rearing of Language Models can Reveal Linguistic Insight" - Kanishka Misra”.
56:47"Data Sketching via the Levy-Khintchine Lens" – Seth Pettie, Talks at TTIC
A 57-minute video from TTIC: “"Data Sketching via the Levy-Khintchine Lens" – Seth Pettie, Talks at TTIC”.
56:46"Deep Networks as Convex Models: Exact Lasso Formulations via Geometric Algebra" - Mert Pilanci
A 57-minute video from TTIC: “"Deep Networks as Convex Models: Exact Lasso Formulations via Geometric Algebra" - Mert Pilanci”.
57:22"Designing Principled ML Algorithms via Modularity" – Dhruv Rohatgi, Talks at TTIC
A 57-minute video from TTIC: “"Designing Principled ML Algorithms via Modularity" – Dhruv Rohatgi, Talks at TTIC”.
58:04"Do AI Systems Have World Models?" – Shiry Ginosar, Research at TTIC
A 58-minute video from TTIC: “"Do AI Systems Have World Models?" – Shiry Ginosar, Research at TTIC”.
1:03:32"Dynamics of Concept Learning and Emergent Abilities in Neural Networks" - Ekdeep Lubana
A 64-minute video from TTIC: “"Dynamics of Concept Learning and Emergent Abilities in Neural Networks" - Ekdeep Lubana”.
44:35"Efficient Learning Algorithms under Contamination" – Konstantinos Stavropoulos,
A 45-minute video from TTIC: “"Efficient Learning Algorithms under Contamination" – Konstantinos Stavropoulos,”.
56:58"Efficient “Curriculum-Based” Training" - Abhishek Panigrahi, Young Researcher Seminar Series
A 57-minute video from TTIC: “"Efficient “Curriculum-Based” Training" - Abhishek Panigrahi, Young Researcher Seminar Series”.
45:27"Efficiently Learning Instance-Optimal Linear System Solvers" – Misha Khodak, LAMP
A 45-minute video from TTIC: “"Efficiently Learning Instance-Optimal Linear System Solvers" – Misha Khodak, LAMP”.
54:15"Estimating Treatment Quantiles Without Assumptions"" - Siddharth Bhandari, Research at TTIC
A 54-minute video from TTIC: “"Estimating Treatment Quantiles Without Assumptions"" - Siddharth Bhandari, Research at TTIC”.
56:40"Expander Graphs and Optimally List-Decodable Codes"- Madhur Tulsiani, Research at TTIC
A 57-minute video from TTIC: “"Expander Graphs and Optimally List-Decodable Codes"- Madhur Tulsiani, Research at TTIC”.
1:03:03"Explainable Clustering: Interpretable and Reliable Learning" – Liren Shan, Research at TTIC
A 63-minute video from TTIC: “"Explainable Clustering: Interpretable and Reliable Learning" – Liren Shan, Research at TTIC”.