Skip to content
conftrace_

Yuchen Zhang

55 papers · 2012–2026 · 16 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 20 separate collaboration groups - the largest holds only 35% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Yuchen Zhang?

6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Michael I. Jordan, Martin J. Wainwright, Percy Liang 19 papers · 2012–2023 · ICML, NeurIPS, JMLR Hide ▲
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms ICML 2023 Bridging Theory and Algorithm for Domain Adaptation ICML 2019 Defending against Whitebox Adversarial Attacks via Randomized Discretization AISTATS 2019 A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics COLT 2017 Convexified Convolutional Neural Networks ICML 2017 Macro Grammars and Holistic Triggering for Efficient Semantic Parsing EMNLP 2017 On the Learnability of Fully-Connected Neural Networks AISTATS 2017 L1-regularized Neural Networks are Improperly Learnable in Polynomial Time ICML 2016 Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences NeurIPS 2016 On Bayes Risk Lower Bounds JMLR 2016 Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing JMLR 2016 Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds ICML 2015 Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates JMLR 2015 Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression COLT 2014 Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NeurIPS 2014 Communication-Efficient Algorithms for Statistical Optimization JMLR 2013 Divide and Conquer Kernel Ridge Regression COLT 2013 Information-theoretic lower bounds for distributed statistical estimation with communication constraints NeurIPS 2013 Communication-Efficient Algorithms for Statistical Optimization NeurIPS 2012
14 papers whose co-authors appear nowhere else under this name
Any4D: Unified Feed-Forward Metric 4D Reconstruction CVPR 2026 DynaRL: Flexible and Dynamic Scheduling of Large-Scale Reinforcement Learning Training OSDI 2026 Is your VLM Sky-Ready? A Comprehensive Spatial Intelligence Benchmark for UAV Navigation CVPR 2026 Language Family Matters: Evaluating SpeechLLMs Across Linguistic Boundaries EACL 2026 Inverse Flow and Consistency Models ICML 2025 Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference AAAI 2025 PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development MICCAI 2025 On Fake News Detection with LLM Enhanced Semantics Mining EMNLP 2024 Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork NeurIPS 2023 Mixed-domain Language Modeling for Processing Long Legal Documents EMNLP 2023 ROBBIE: Robust Bias Evaluation of Large Generative Language Models EMNLP 2023 Rethinking Masked Language Modeling for Chinese Spelling Correction ACL 2023 Value-Agnostic Conversational Semantic Parsing ACL 2021 Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization JMLR 2017

Venues · all papers under this name

ICML (10) EMNLP (8) NeurIPS (8) ACL (6) JMLR (5) CVPR (4) COLT (3) AISTATS (2) CoNLL (2) AAAI (1) EACL (1) ECCV (1) IJCNLP (1) MICCAI (1) NAACL (1) OSDI (1)