**PhD Candidate, Cornell University**

*algorithms, theoretical machine learning, semidefinite programming, sum of squares optimization, convex hierarchies, hardness of approximation*

Supported by a Microsoft PhD Fellowship, an NSF Graduate Research Fellowship, and a Cornell University Fellowship.

In Fall 2018 I will join UC Berkeley as a Miller Postdoctoral Fellow! |

- May 2018: Discrete math seminar, UMass Amherst
- April 2018: Limits to Inference in Networks and Noisy Data at Santa Fe Institute
- November 2017: Theory seminar, University of Washington
- November 2017: Banff workshop on approximation algorithms

**Mixture Models, Robustness, and Sum of Squares Proofs.** *Samuel B. Hopkins, Jerry Li.* In submission. arxiv talk (video)

**The power of SoS for detecting hidden structures.** *Samuel B. Hopkins, Pravesh K. Kothari, Aaron Potechin, Prasad Raghavendra, Tselil Schramm, David Steurer.* FOCS 2017. arxiv

**Efficient Bayesian estimation from few samples: community detection and related problems.** *Samuel B. Hopkins, David Steurer.* FOCS 2017. arxiv

**A nearly tight sum-of-squares lower bound for the planted clique problem.** *Boaz Barak, Samuel B. Hopkins, Jonathan Kelner, Pravesh K. Kothari, Ankur Moitra, Aaron Potechin.* FOCS 2016, inivted to special issue. arxiv video slides (pdf)

**Fast spectral algorithms from sum-of-squares proofs: tensor decomposition and planted sparse vectors.** *Samuel B. Hopkins, Tselil Schramm, Jonathan Shi, David Steurer.* STOC 2016. arxiv slides (pptx)

**On the integrality gap of degree-4 sum of squares for planted clique** *Samuel B. Hopkins, Pravesh K. Kothari, Aaron Potechin, Tselil Schramm, Prasad Raghavendra.* SODA 2016, invited to special issue. arxiv 1 (Hopkins-Kothari-Potechin version) and arxiv 2 (Raghavendra-Schramm version)

**Tensor principal component analysis via sum-of-squares proofs.** *Samuel B. Hopkins, Jonathan Shi, David Steurer.* COLT 2015, 20 minute presentation. arxiv

**Kolmogorov Complexity, Circuits, and the Strength of Formal Theories of Arithmetic** *Eric Allender, George Davie, Luke Friedman, Samuel B. Hopkins, Iddo Tzameret.* Chicago Journal of Theoretical Computer Science. eccc

**Clustering and Sum of Squares Proofs.** A series of blog posts on the sum of squares method in unsupervised learning, and in particular on clustering in mixture models. December 2017.

pdf with all the posts

part 1 part 2 part 3 part 4 part 5 part 6

**Introduction to Pseudocalibration.** Joint talk with Aaron Potechin. Fall 2017. youtube

**Lecture Notes on SoS Tensor Decomposition Algorithms.** From a guest lecture given in Moses Charikarâ€™s special topics course at Stanford. Spring 2017. pdf

324 Gates Hall

*samhop at cs dot cornell dot edu*