• Machine Learning

  • Deep Generalized Green's Functions , Journal of Computational Physics, Oct. 2025.

  • Neural operators from the Cole Hopf transformation: Leveraging relations between PDEs for efficient operator learning, Computer Methods in Applied Mechanics and Engineering, Sept. 2025.

  • Conditional Average Treatment Effect Estimation Under Hidden Confounders , Uncertainty in Artificial Intelligence 2025.

  • CATE Estimation With Potential Outcome Imputation From Local Regression s, Uncertainty in Artificial Intelligence 2025.

  • Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization , International Conference on Machine Learning (ICML), 2025.

  • In-Context Reinforcement Learning From Suboptimal Historical Data , International Conference on Machine Learning (ICML), 2025.

  • Variational Adversarial Training Towards Policies with Improved Robustness , International Conference on Artificial Intelligence and Statistics (AISTATS) 2025.

  • Steinmetz Neural Networks for Complex-Valued Data, International Conference on Artificial Intelligence and Statistics (AISTATS) 2025.

  • Parabolic Continual Learning , International Conference on Artificial Intelligence and Statistics (AISTATS) 2025.

  • Elliptic Loss Regularization , International Conference on Learning Representation (ICLR), 2025.

  • Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions , Uncertainty in Artificial Intelligence 2024.

  • Base Models for Parabolic Partial Differential Equations, Uncertainty in Artificial Intelligence 2024.

  • Random Linear Projections Loss for Hyperplane-Based Optimization in Neural Networks, Uncertainty in Artificial Intelligence 2024.

  • Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes , International Conference on Artificial Intelligence and Statistics (AISTATS) 2024.

  • Off-Policy Evaluation fro Human Feedback , Conference on Neural Information Processing System (NeurIPS), 2023.

  • Inference and Sampling of Point Processes from Diffusion Excursions , Uncertainty in Artificial Intelligence 2023.

  • Transfer Learning for Individual Treatment Effect Estimation , Uncertainty in Artificial Intelligence 2023.

  • PASTA: Pessimistic Assortment Optimization , International Conference on Machine Learning (ICML), 2023.

  • Pruning Deep Neural Networks from a Sparsity Perspective , International Conference on Learning Representation (ICLR), 2023.

  • Characteristic Neural Ordinary Differential Equations , International Conference on Learning Representation (ICLR), 2023.

  • Inference and Sampling for Archimax Copulas , Conference on Neural Information Processing System (NeurIPS), 2022.

  • SemiFL: Communication Efficient Semi-Supervised Federated Learning with Unlabeled Clients , Conference on Neural Information Processing System (NeurIPS), 2022.

  • Gradient Assisted Learning for Decentralized Multi-Organization Collaborations , Conference on Neural Information Processing System (NeurIPS), 2022.

  • Fisher Task Distance and Its Applications in Neural Architecture , IEEE ACCESS, May 2022.

  • Semi-Empirical Objective Functions for MCMC Proposal Optimization , International Conference on Pattern Recognition, 2022.

  • Modeling Extremes with d-max-decreasing Neural Networks , Conference on Uncertainty in Artificial Intelligence (UAI), 2022

  • Multi-Agent Adversarial Attacks for Multi-Channel Communications , International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022.

  • Blaschke Product Neural Network(BPNN): A Physics-Infused Neural Network For Phase Retrieval of Meromorphic Functions , International Conference on Learning Representation (ICLR), 2022.

  • Task Affinity With Maximum Bipartite Matching in Few-Shot Learning , International Conference on Learning Representation (ICLR), 2022.

  • Identifying latent stochastic differential equations" , IEEE Transactions on Signal Processing, Jan 2022.

  • Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials , Conference on Neural Information Processing System (NeurIPS), 2021.

  • Generative Archimedean Copulas , Conference on Uncertainty in Artificial Intelligence (UAI) 2021.

  • Fisher Auto-Encoders , International Conference on Artificial Intelligence and Statistics (AISTATS), 2021.

  • HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients , International Conference on Learning Representation, 2021.

  • Projected Latent Markov Chain Monte Carlo: Conditional Inference with Normalizing Flows , International Conference on Learning Representation, 2021.

  • Compressing Deep Networks Using Fisher Score of Feature Maps, Data Compression Conference 2021.

  • On the Information of Feature Maps and Pruning of Deep Neural Networks , International Conference on Pattern Recognition, 2021.

  • A Convergent Accelerated Proximal Gradient with Restart for Nonconvex Optimization , Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2020.

  • Distributed Lossy Image Compression with Recurrent Networks , Proceeding of Data Compression Conference 2020.

  • Gradient Information for Representation and Modeling , Conference on Neural Information Processing System (NeurIPS), 2019.

  • SpiderBoost and Momentum: Faster Variance Reduction Algorithms, Conference on Neural Information Processing System (NeurIPS), 2019.

  • Restricted Recurrent Neural Networks , IEEE International Conference on Big Data, 2019.

  • SGD Converges to Global Minimum in Deep Learning via Star-convex Path , International Conference on Learning Representation, 2019.

  • Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels , Conference on Neural Information Processing System (NeurIPS), 2018.

  • On Data-Dependent Random Features for Improved Generalization in Supervised Learning, The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

  • On Optimal Generalizability in Parametric Learning, Conference on Neural Information Processing System (NeurIPS), 2017