Theory of Computation Colloquium Series

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.

 

Fall 2026

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

 

Spring 2026

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)"

 
Fall 2025

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?"

 

Spring 2025

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 ✮

 


Fall 2024

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"

 
 
Spring 2024
 
 
 
 
 
 
 
 
May 14, 2024: Thatchaphol Saranurak
 
May 21, 2024: Ryan Williams
 
Fall 2023

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 Bullshit Detectors! (or Polynomial Time Byzantine Agreement with Optimal Resilience)

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