| Partial Identification with Noisy Covariates: A Robust Optimization Approach. | 0 | 0.34 | 2022 |
| Learning Strategies in Decentralized Matching Markets under Uncertain Preferences. | 0 | 0.34 | 2021 |
| Elastic Hyperparameter Tuning on the Cloud | 0 | 0.34 | 2021 |
| On the Stability of Nonlinear Receding Horizon Control - A Geometric Perspective. | 0 | 0.34 | 2021 |
| Robustness Guarantees For Mode Estimation With An Application To Bandits | 0 | 0.34 | 2021 |
| Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism | 0 | 0.34 | 2021 |
| Test-time Collective Prediction. | 0 | 0.34 | 2021 |
| On Nonconvex Optimization for Machine Learning: Gradients, Stochasticity, and Saddle Points | 1 | 0.35 | 2021 |
| A Lyapunov Analysis Of Accelerated Methods In Optimization | 0 | 0.34 | 2021 |
| Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models. | 0 | 0.34 | 2020 |
| Provably Efficient Reinforcement Learning with Linear Function Approximation | 0 | 0.34 | 2020 |
| High Confidence Sets for Trajectories of Stochastic Time-Varying Nonlinear Systems. | 0 | 0.34 | 2020 |
| On the Theory of Transfer Learning: The Importance of Task Diversity | 0 | 0.34 | 2020 |
| On the Adaptivity of Stochastic Gradient-Based Optimization | 0 | 0.34 | 2020 |
| Variance Reduction With Sparse Gradients. | 0 | 0.34 | 2020 |
| Near-Optimal Algorithms for Minimax Optimization | 0 | 0.34 | 2020 |
| Improved Sample Complexity for Stochastic Compositional Variance Reduced Gradient | 0 | 0.34 | 2020 |
| Global Error Bounds and Linear Convergence for Gradient-Based Algorithms for Trend Filtering and š-Convex Clustering. | 0 | 0.34 | 2019 |
| Minmax Optimization: Stable Limit Points of Gradient Descent Ascent are Locally Optimal. | 2 | 0.36 | 2019 |
| Theoretically Principled Trade-off between Robustness and Accuracy. | 34 | 0.71 | 2019 |
| On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems. | 3 | 0.37 | 2019 |
| Cost-Effective Incentive Allocation Via Structured Counterfactual Inference | 0 | 0.34 | 2019 |
| A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements. | 0 | 0.34 | 2019 |
| A Dynamical Systems Perspective on Nesterov Acceleration. | 1 | 0.35 | 2019 |
| Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning. | 7 | 0.44 | 2018 |
| Understanding the Acceleration Phenomenon via High-Resolution Differential Equations. | 1 | 0.35 | 2018 |
| Conditional Adversarial Domain Adaptation. | 31 | 0.74 | 2018 |
| Gen-Oja: A Simple and Efficient Algorithm for Streaming Generalized Eigenvector Computation | 0 | 0.34 | 2018 |
| Averaging Stochastic Gradient Descent on Riemannian Manifolds. | 2 | 0.37 | 2018 |
| Information Constraints on Auto-Encoding Variational Bayes | 0 | 0.34 | 2018 |
| RLlib: Abstractions for Distributed Reinforcement Learning. | 9 | 0.51 | 2018 |
| On the Local Minima of the Empirical Risk. | 4 | 0.40 | 2018 |
| A deep generative model for gene expression profiles from single-cell RNA sequencing. | 0 | 0.34 | 2017 |
| Domain Adaptation with Randomized Multilinear Adversarial Networks. | 0 | 0.34 | 2017 |
| Breaking Locality Accelerates Block Gauss-Seidel. | 5 | 0.42 | 2017 |
| Online control of the false discovery rate with decaying memory | 3 | 0.54 | 2017 |
| Gradient Descent Converges to Minimizers. | 37 | 1.51 | 2016 |
| On Computational Thinking, Inferential Thinking and Data Science. | 1 | 0.36 | 2016 |
| Learning Transferable Features with Deep Adaptation Networks. | 286 | 7.10 | 2015 |
| Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? | 5 | 0.47 | 2015 |
| Distributed matrix completion and robust factorization. | 16 | 0.79 | 2015 |
| Parallel Correlation Clustering on Big Graphs | 18 | 0.72 | 2015 |
| A Nested HDP for Hierarchical Topic Models | 3 | 0.41 | 2013 |
| Cluster Forests. | 1 | 0.35 | 2013 |
| PEGASUS: A Policy Search Method for Large MDPs and POMDPs | 41 | 2.37 | 2013 |
| Information-theoretic lower bounds for distributed statistical estimation with communication constraints. | 0 | 0.34 | 2013 |
| MAD-Bayes: MAP-based Asymptotic Derivations from Bayes. | 22 | 1.02 | 2013 |
| Bayesian semiparametric Wiener system identification. | 15 | 0.78 | 2013 |
| Nonparametric Link Prediction in Dynamic Networks. | 10 | 0.56 | 2012 |
| Coherence functions with applications in large-margin classification methods | 2 | 0.41 | 2012 |
