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Cho-Jui Hsieh

Identifiers

  • name variant Cho-Jui Hsieh 0.60 · backfill

Papers (67)

  1. Differentiable Efficient Operator Search cs.LG · 2026 · author #6
  2. One-Forcing: Towards Stable One-Step Autoregressive Video Generation cs.CV · 2026 · author #4
  3. AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment cs.AI · 2026 · author #4
  4. Do Synthetic Trajectories Reflect Real Reward Hacking? A Systematic Study on Monitoring In-the-Wild Hacking in Code Generation cs.LG · 2026 · author #5
  5. ClawEnvKit: Automatic Environment Generation for Claw-Like Agents cs.AI · 2026 · author #4
  6. DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation cs.CL · 2025 · author #6
  7. LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval cs.IR · 2025 · author #4
  8. Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods? cs.LG · 2025 · author #6
  9. Self-Forcing++: Towards Minute-Scale High-Quality Video Generation cs.CV · 2025 · author #9
  10. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cs.CL · 2025 · author #3033
  11. R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model cs.AI · 2025 · author #6
  12. Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control cs.LG · 2024 · author #3
  13. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context cs.CL · 2024 · author #1042
  14. VisualBERT: A Simple and Performant Baseline for Vision and Language cs.CV · 2019 · author #4
  15. Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual Perspective cs.LG · 2019 · author #5
  16. ML-LOO: Detecting Adversarial Examples with Feature Attribution cs.LG · 2019 · author #3
  17. Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise cs.LG · 2019 · author #6
  18. Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering cs.LG · 2019 · author #5
  19. Large Batch Optimization for Deep Learning: Training BERT in 76 minutes cs.LG · 2019 · author #10
  20. Efficient Contextual Representation Learning Without Softmax Layer cs.CL · 2019 · author #3
  21. Robust Decision Trees Against Adversarial Examples cs.LG · 2019 · author #4
  22. Large-Batch Training for LSTM and Beyond cs.LG · 2019 · author #6
  23. The Limitations of Adversarial Training and the Blind-Spot Attack stat.ML · 2019 · author #6
  24. Block-wise Partitioning for Extreme Multi-label Classification cs.LG · 2018 · author #2
  25. Efficient Neural Network Robustness Certification with General Activation Functions cs.LG · 2018 · author #4
  26. Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks cs.LG · 2018 · author #5
  27. RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications stat.ML · 2018 · author #3
  28. On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm cs.LG · 2018 · author #5
  29. Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network cs.LG · 2018 · author #4
  30. Stochastic Second-order Methods for Non-convex Optimization with Inexact Hessian and Gradient math.OC · 2018 · author #3
  31. Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem math.OC · 2018 · author #3
  32. RedSync : Reducing Synchronization Traffic for Distributed Deep Learning cs.DC · 2018 · author #4
  33. Fast Variance Reduction Method with Stochastic Batch Size cs.LG · 2018 · author #2
  34. Rob-GAN: Generator, Discriminator, and Adversarial Attacker cs.LG · 2018 · author #2
  35. Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach cs.LG · 2018 · author #6
  36. GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking cs.CL · 2018 · author #5
  37. Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data cs.LG · 2018 · author #3
  38. Stochastic Zeroth-order Optimization via Variance Reduction method stat.ML · 2018 · author #3
  39. GenAttack: Practical Black-box Attacks with Gradient-Free Optimization cs.LG · 2018 · author #5
  40. LearningWord Embeddings for Low-resource Languages by PU Learning cs.CL · 2018 · author #3
  41. Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems cs.DC · 2018 · author #3
  42. Towards Fast Computation of Certified Robustness for ReLU Networks stat.ML · 2018 · author #5
  43. SQL-Rank: A Listwise Approach to Collaborative Ranking stat.ML · 2018 · author #2
  44. History PCA: A New Algorithm for Streaming PCA stat.ML · 2018 · author #2
  45. Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach stat.ML · 2018 · author #7
  46. Multiple Accounts Detection on Facebook Using Semi-Supervised Learning on Graphs cs.SI · 2018 · author #4
  47. Graphic displays of MLB pitching mechanics and its evolutions in PITCHf/x data stat.AP · 2018 · author #4
  48. Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning cs.CV · 2017 · author #5
  49. Towards Robust Neural Networks via Random Self-ensemble cs.LG · 2017 · author #4
  50. ImageNet Training in Minutes cs.CV · 2017 · author #3
  51. EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples stat.ML · 2017 · author #5
  52. An inexact subsampled proximal Newton-type method for large-scale machine learning cs.LG · 2017 · author #2
  53. ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models stat.ML · 2017 · author #5
  54. GPU-acceleration for Large-scale Tree Boosting stat.ML · 2017 · author #3
  55. Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent math.OC · 2017 · author #4
  56. Scalable Demand-Aware Recommendation cs.LG · 2017 · author #2
  57. Sparse Learning with Semi-Proximal-Based Strictly Contractive Peaceman-Rachford Splitting Method stat.CO · 2016 · author #2
  58. A Greedy Approach for Budgeted Maximum Inner Product Search cs.DS · 2016 · author #2
  59. Communication-Efficient Parallel Block Minimization for Kernel Machines cs.LG · 2016 · author #1
  60. A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order math.OC · 2016 · author #3
  61. PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent cs.LG · 2015 · author #1
  62. A Scalable Asynchronous Distributed Algorithm for Topic Modeling cs.DC · 2014 · author #2
  63. PU Learning for Matrix Completion cs.LG · 2014 · author #1
  64. NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion cs.DC · 2013 · author #3
  65. A Divide-and-Conquer Solver for Kernel Support Vector Machines cs.LG · 2013 · author #1
  66. Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation cs.LG · 2013 · author #1
  67. Prediction and Clustering in Signed Networks: A Local to Global Perspective cs.SI · 2013 · author #2

Mentions

  • 2606.05232 #6 · arxiv_oai · confidence 0.70 Cho-Jui Hsieh
  • 1708.08552 #2 · arxiv_oai · confidence 0.70 Cho-Jui Hsieh
  • 1411.6081 #1 · arxiv_oai · confidence 0.70 Cho-Jui Hsieh
  • 1504.01365 #1 · backfill · confidence 0.70 Cho-Jui Hsieh
  • 1412.4986 #2 · backfill · confidence 0.70 Cho-Jui Hsieh
  • 2510.10541 #6 · arxiv_oai · confidence 0.70 Cho-Jui Hsieh
  • 1411.6081 #1 · backfill · confidence 0.70 Cho-Jui Hsieh
  • 1312.0193 #3 · backfill · confidence 0.70 Cho-Jui Hsieh
  • 1311.0914 #1 · backfill · confidence 0.70 Cho-Jui Hsieh
  • 1306.3212 #1 · backfill · confidence 0.70 Cho-Jui Hsieh
  • 2510.13217 #4 · arxiv_oai · confidence 0.70 Cho-Jui Hsieh
  • 1302.5145 #2 · backfill · confidence 0.70 Cho-Jui Hsieh
  • 2605.23458 #4 · arxiv_oai · confidence 0.70 Cho-Jui Hsieh
  • 1904.00962 #10 · arxiv_oai · confidence 0.70 Cho-Jui Hsieh
  • 2605.17602 #4 · arxiv_oai · confidence 0.70 Cho-Jui Hsieh
  • 2503.05132 #6 · arxiv_oai · confidence 0.70 Cho-Jui Hsieh
  • 1908.03557 #4 · arxiv_oai · confidence 0.70 Cho-Jui Hsieh
  • 2510.02283 #9 · arxiv_oai · confidence 0.70 Cho-Jui Hsieh

Frequent Coauthors