← Authors

Ali Jadbabaie

37 papers · 2005–2025 · 7 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (20) 🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (43) 🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (14) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion (4) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (131) πŸ“ˆ Trend Setter ❓ The Questioner (2) πŸ’Ž Century Club (37) πŸ”₯ Unstoppable (8)

Conferences

NIPS (13) ICLR (7) ICML (7) AISTATS (3) COLT (3) L4DC (2) RSS (2)

Top co-authors

Suvrit Sra (14) Chulhee Yun (7) Jingzhao Zhang (6) Haochuan Li (5) Xinyi Wu (5) Aryan Mokhtari (4) Alexander Rakhlin (3) Kwangjun Ahn (3) Stefanie Jegelka (3) Amir Ajorlou (2)

Keywords

gradient descent (4) stationary point (4) neural network optimization (3) stochastic optimization (3) nonconvex optimization (3) convergence rate (3) behavior cloning (2) parameter estimation (2) imitation learning (2) saddle point (2) regret bound (2) minimax optimization (2) social network (2) neural network (2) federated learning (2) optimal transport (1) function approximation (1) convex optimization (1) stochastic gradient descent (1) bayesian learning (1)

Papers

The Pitfalls of Imitation Learning when Actions are Continuous COLT 2025
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs ICLR 2025
On the Emergence of Position Bias in Transformers ICML 2025
Fast Tensor Completion via Approximate Richardson Iteration ICML 2025
On the Role of Attention Masks and LayerNorm in Transformers NIPS 2024
How to Escape Sharp Minima with Random Perturbations ICML 2024
Linear attention is (maybe) all you need (to understand Transformer optimization) ICLR 2024
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks ICLR 2023
Demystifying Oversmoothing in Attention-Based Graph Neural Networks NIPS 2023
Convex and Non-convex Optimization Under Generalized Smoothness NIPS 2023
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior NIPS 2023
Convergence of Adam Under Relaxed Assumptions NIPS 2023
Model Predictive Control via On-Policy Imitation Learning L4DC 2023
Time Varying Regression with Hidden Linear Dynamics L4DC 2022
On Convergence of Gradient Descent Ascent: A Tight Local Analysis ICML 2022
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective ICML 2022
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity ICML 2022
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization NIPS 2021
Open Problem: Can Single-Shuffle SGD be Better than Reshuffling SGD and GD? COLT 2021
Estimation of Skill Distribution from a Tournament NIPS 2020
Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity ICLR 2020
Robust Federated Learning: The Case of Affine Distribution Shifts NIPS 2020
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions ICML 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization AISTATS 2020
Efficiently testing local optimality and escaping saddles for ReLU networks ICLR 2019
Small nonlinearities in activation functions create bad local minima in neural networks ICLR 2019
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity NIPS 2019
Are deep ResNets provably better than linear predictors? NIPS 2019
Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods AISTATS 2019
Reasoning in Bayesian Opinion Exchange Networks Is PSPACE-Hard COLT 2019
Global Optimality Conditions for Deep Neural Networks ICLR 2018
Direct Runge-Kutta Discretization Achieves Acceleration NIPS 2018
Escaping Saddle Points in Constrained Optimization NIPS 2018
Online Optimization : Competing with Dynamic Comparators AISTATS 2015
Online Learning of Dynamic Parameters in Social Networks NIPS 2013
Bearing-Only Control Laws For Balanced Circular Formations of Ground Robots RSS 2008
Vision-based Distributed Coordination and Flocking of Multi-agent Systems RSS 2005