Publications

Chow-Liu++: Optimal Prediction-Centric Learning of Tree Ising Models
The Algorithmic Phase Transition of Random k-SAT for Low Degree Polynomials
The EM Algorithm is Adaptively-Optimal for Unbalanced Symmetric Gaussian Mixtures
De Finetti-Style Results for Wishart Matrices: Combinatorial Structure and Phase Transitions
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
Reducibility and Statistical-Computational Gaps from Secret Leakage
Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
A Corrective View of Neural Networks: Representation, Memorization and Learning
Learning Restricted Boltzmann Machines with Few Latent Variables
Phase Transitions for Detecting Latent Geometry in Random Graphs
The Average-Case Complexity of Counting Cliques in Erdős-Rényi Hypergraphs
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
Universality of Computational Lower Bounds for Submatrix Detection
Stein's Method for Stationary Distributions of Markov Chains and Application to Ising Models
Learning Restricted Boltzmann Machines via Influence Maximization
Learning Tree-structured Ising Models in Order to Make Predictions
Sample Efficient Active Learning of Causal Trees
Information Storage in the Stochastic Ising Model at Zero Temperature
Optimal Single Sample Tests for Structured versus Unstructured Network Data
Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure
Sparse PCA from Sparse Linear Regression
Information-Theoretically Optimal Sequential Recommendations
Regret Bounds and Regimes of Optimality for Item-item and User-user Collaborative Filtering
Learning graphical models from the Glauber dynamics
Collaborative Filtering with Low Regret
Efficiently learning Ising models on arbitrary graphs
Structure learning of antiferromagnetic Ising models
Hardness of parameter estimation in graphical models
A Latent Source Model for Online Collaborative Filtering
Feasibility of Interference Alignment for the MIMO Interference Channel
Optimal assembly for high throughput shotgun sequencing
Reconstruction of Markov Random Fields from Samples: Some Observations and Algorithms
Information Theory of DNA Shotgun Sequencing
The approximate capacity of the many-to-one and one-to-many Gaussian interference channels
3-user interference channel: Degrees of freedom as a function of channel diversity
Mixing time of exponential random graphs
The two-user Gaussian interference channel: a deterministic view
Note on mutual information and orthogonal space-time codes