Seminar series coordinated by Kuikui Liu and Sam Hopkins.
If you would like to be on the mailing list for this seminar series, please contact Olivia Cheo at: olivia (at) csail.mit.edu
Unless noted otherwise, the talks take place on Tuesdays, 4:15–5:15 pm, in 32-G449 (Kiva/Patil); refreshments served at 4:00 PM.
Our Zoom policy can be found here.
September 15, 2026: Or Zamir (Tel Aviv University), "k-Coloring is Faster than Computing the Chromatic Number"
September 29, 2026: Frederic Koehler (UChicago), "Anticoncentration of Gaussian permanents"
October 06, 2026: Larry Guth (Mathematics), "Hard pure math problems and hard algorithmic problems" in 32-141
Friday, March 06, 2026: Piotr Indyk (MIT), "Graph-Based Algorithms for Similarity Search: Challenges and Opportunities" at 11:00 AM in E18-304; part of IDSS' Statistics and Data Science Seminar Series
Thursday, March 12, 2026: Jim Orlin (MIT), "Interdiction problems and 2-person sequential games: beyond NP-completeness" in E51-145; co-hosted by MIT's Operations Research Center
March 17, 2026: Shachar Lovett (UCSD), "Corners and Communication Complexity"
March 24, 2026: Spring Break, no seminar
April 07, 2026: Kuikui Liu (MIT), "On zeros and algorithms for disordered systems"
April 14, 2026: Nir Shavit (MIT), "Toy Models of Combinatorial Interpretability"
April 21, 2026: Jerry Li (University of Washington), "Lower bounds for Learning Hamiltonians from Time Evolution"
April 28, 2026: Xi Chen (Columbia), "Adaptivity Does Not Help: Nearly Tight Lower Bounds for Boolean Monotonicity Testing" in 32-124
May 05, 2026: Aaron Roth (UPenn), "Calibration in the Age of AI: From Prediction to Decision Making to AI Assisted Research"
May 12, 2026: Madhur Tulsiani (TTIC), "List Decoding Expander-Based Codes (up to capacity, in near-linear time)"
September 09, 2025: Adam Klivans (UT Austin), "A New Paradigm for Learning with Distribution Shift"
September 16, 2025: Standa Zivny (Oxford), "Sparsification of 1-in-3-SAT"
September 23, 2025: Rachel Zhang (MIT), "Explicit Lossless Vertex Expanders"
October 07, 2025: Nikhil Bansal (University of Michigan), "On Beck-Fiala and Komlós Conjectures"
October 14, 2025: Vincent Cohen-Addad (Google Research), "Introducing Algorithmic Thinking Theory for Foundation Models"
October 28, 2025: Venkat Guruswami (Berkeley), "Redundancy is all you need (for CSP sparsification)"
November 11, 2025: MIT closed for Veterans Day
December 09, 2025: Ronitt Rubinfeld (MIT), "Can we speed safely?"
February 11, 2025: Irit Dinur, "'Local-to-Global' Theorems on High Dimensional Expanders"
February 18, 2025: Micah Adler, "On the Complexity of Neural Computation in Superposition"
February 25, 2025: Alex Lubotzky, "Good Locally Testable Codes"
March 04, 2025: Elette Boyle, "Pseudorandom Correlation Generators"
March 11, 2025: Andrea Montanari, "Overparametrized systems: from Smale's 17th problem to two-layer neural networks"
March 18, 2025: Zongchen Chen, "Rapid Mixing at the Uniqueness Threshold"
March 25, 2025: Spring Break, no seminar
April 08, 2025: Ryan Williams, "Simulating Time With Square-Root Space"
April 15, 2025: Ilias Diakonikolas, "Learning Multi-Index Models"
April 22, 2025: Adi Shamir, "How to Securely Implement Cryptography in Deep Neural Networks"
May 06, 2025: Sam Hopkins, "Deciding high-dimensional sub-Gaussian-ness in polynomial time" in ✮ 32-D463 Star ✮
September 17, 2024: Chara Podimata, "Learning in Strategic Environments: from Calibrated Agents to General Information Asymmetry"
September 24, 2024: Kai Zhe Zheng, "Near Optimal Alphabet-Soundness Tradeoff PCPs"
October 08, 2024: Thodoris Lykouris, "Learning to Defer in Content Moderation: The Human-AI Interplay"
October 15, 2024: Student Holiday: no seminar
November 19, 2024: Soheil Behnezhad, "Vizing’s Theorem in Near-Linear Time"
November 26, 2024: Monika Henzinger, "Recent Advances in Differential Privacy under Continual Observation"
December 03, 2024: Ramon van Handel, "A New Approach to Optimal Spectral Gaps" in 32-124
December 10, 2024: Ryan O'Donnell, "Coboundary Expansion Inside Chevalley Coset Complex HDXs"
September 6, 2023: Nika Haghtalab
September 19, 2023: Adam Kalai
October 3, 2023: Rahul Santhanam
October 17, 2023: Xin Li
October 24, 2023: Eva Tardos
November 14, 2023: Yuval Ishai
November 21, 2023: Fermi Ma
December 5, 2023: Kasper Green Larsen: Bagging is an Optimal PAC Learner
Fall 2022
October 25, 2022: David Zuckerman, Almost Chor-Goldreich Sources and Adversarial Random Walks
November 1, 2022: No seminar (FOCS '22)
November 8, 2022: Cancelled (due to the speaker's health problems)
November 15, 2022: Alexandr Andoni, Estimating the Longest Increasing and Longest Common Subsequences
November 22, 2022: Seth Pettie, Algorithms Should Have
November 29, 2022: Yang P. Liu, Maximum Flow and Minimum-Cost Flow in Almost-Linear Time
December 6, 2022: Shuichi Hirahara, NP-Hardness of Learning Programs and Partial MCSP
December 13, 2022: Daniel Wichs, Doubly Efficient Private Information Retrieval and Fully Homomorphic RAM Computation
Spring 2022
March 8, 2022: Yael Lalai: Efficient Verification of Computation on Untrusted Platforms
March 15, 2022: Manuel Blum: The Conscious Turing Machine (CTM): A Theoretical CS Approach to the Hard Problem
March 22, 2022: No seminar (Spring Break)
March 29, 2022: Anurag Anshu: Complexity of Local Hamiltonians via Polynomial Approximations to AND Function
April 5, 2022: No seminar
April 12, 2022: Roei Tell: New Directions in Derandomization: Non-Black-Box Techniques, Superfast Algorithms
April 19, 2022: Tselil Schramm: Testing Thresholds for High-Dimensional Random Geometric Graphs
April 26, 2022: Pravesh Kothari: Refuting Smoothed k-SAT Formulas and a Proof of Feige's Conjecture
May 3, 2022: Anand Natarajan:
May 10, 2022: Jerry Li: Clustering Mixtures with Almost Optimal Separation in Polynomial Time
Fall 2021
September 28, 2021: Kuikui Liu: Markov Chain Analysis via Spectral Independence
October 5, 2021: Swastik Kopparty: Fast algorithms for polynomials over all finite fields via the Elliptic Curve Fast Fourier Transform (ECFFT)
October 12, 2021: Nutan Limaye: Superpolynomial Lower Bounds Against Low-Depth Algebraic Circuits
October 19, 2021: Li-Yang Tan: Properly Learning Decision Trees In Almost Polynomial Time
October 26, 2021: Greg Valiant: Sequential Prediction: Calibration and Selective Prediction
November 2, 2021: No Seminar, ToC Deadline
November 9, 2021: Shachar Lovett: The log-rank conjecture - where do we stand?
November 16, 2021: Noga Alon: PAC Learnability of partial concept classes
November 23, 2021: Sanjoy Dasgupta: Some excursions into interpretable machine learning
November 30, 2021: Subhash Khot: On Approximability of CSPs on Satisfiable Instances
December 7, 2021: (STAR) Merav Parter: New Diameter Reducing Shortcuts: Breaking the $O(\sqrt{n})$ Barrier
Spring 2021
February 23, 2021:
March 2, 2021:
March 9, 2021:
March 16, 2021:
March 23, 2021:No Seminar "Spring Break"
March 30, 2021:
April 6, 2021:
April 13, 2021:
April 20, 2021: No Seminar "Student Holiday"
April 27, 2021:
May 4, 2021:
May 11, 2021:
May 18, 2021:
Archive 2013-2020
Archive 2000-2013