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Vahab Mirrokni

cs.LGcs.DScs.AIstat.MLcs.GTcs.DCcs.CLmath.OCcs.CRcs.SI

On Valency

published · living versions
W_wmvytrdq·v1 · currentpublished

Preprints & journals

192 papers in the corpus · 2009–2026
DuoDiscover: Scaling Autonomous Discovery Beyond the Evaluation Bottleneck2610.17184v1 · Shubham Agarwal, Akshat Gupta, Mike Heddes et al.2026 · 0 citationsarXiv
Optimal and Efficient Online Inverse Optimization2610.08735v1 · Anupam Gupta, Guru Guruganesh, Honghao Lin et al.2026 · 0 citationsarXiv
BRANCH-MoE: Balance-Aware Tree Routing for Large Embedding Models2610.06725v1 · Gang Fu, Adel Javanmard, MohammadHossein Bateni et al.2026 · 0 citationsarXiv
A Proof of the Most Informative Boolean Function Conjecture2609.24931v2 · Zijie Chen, Amin Gohari, Adel Javanmard et al.2026 · 0 citationsarXiv
DLB: Distributed Load Balancing at Scale for Generative AI Inference2609.21079v1 · Santiago R. Balseiro, Bartek Wydrowski, Sameer Agarwal et al.2026 · 0 citationsarXiv
Nearly Optimal Strong Coresets for ℓp\ell_p Subspace Approximation2608.26047v2 · Honghao Lin, Vahab Mirrokni, David P. Woodruff2026 · 0 citationsarXiv
Proteus: Incremental Memory Activation for Long-Context Sequence Modeling2608.16844v1 · Reza Bayat, Ali Behrouz, Vahab Mirrokni et al.2026 · 0 citationsarXiv
TCS-BENCH: Benchmarking State-of-the-Art Generative AI Theoretical Computer Science Research Ability2608.09538v3 · Vincent Cohen-Addad, Dimitris Paparas, Ernest van Wijland et al.2026 · 0 citationsarXiv
A Near-Optimal Lower Bound for Prefix-Matrix Factorizations2608.08238v1 · Honghao Lin, Vahab Mirrokni, David P. Woodruff2026 · 0 citationsarXiv
SSTQ:Privacy-Preserving Vector Quantization via Subsampled Stochastic TurboQuant2608.05127v3 · Adel Javanmard, David P. Woodruff, Vahab Mirrokni2026 · 0 citationsarXiv
Pairwise-Independent Dithering for Single-Stage Hadamard Quantization2608.02564v2 · Honghao Lin, Vahab Mirrokni, David P. Woodruff2026 · 0 citationsarXiv
The Condition-Number Barrier in Sparse Least Squares2608.02588v1 · Honghao Lin, Vahab Mirrokni, David P. Woodruff2026 · 0 citationsarXiv
Near-Optimal Dimension Lower Bounds for Single-Vector Embeddings of Maximum Inner Product Similarity2607.20393v2 · Rajesh Jayaram, Honghao Lin, Vahab Mirrokni et al.2026 · 0 citationsarXiv
Quota Marketplace: Dynamic Pricing for Efficient Allocation of ML Training Resources2607.09802v1 · Balasubramanian Sivan, Renato Paes Leme, Mihai Tiuca et al.2026 · 0 citationsarXiv
Towards Automating Scientific Review with Google's Paper Assistant Tool2606.28277v1 · Rajesh Jayaram, Drew Tyler, David Woodruff et al.2026 · 0 citationsarXiv
Active Learning with Low-Rank Structure for Data Selection2606.16045v1 · Vincent Cohen-Addad, Sasidhar Kunapuli, Vahab Mirrokni et al.2026 · 0 citationsarXiv
Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories2606.03979v2 · Ali Behrouz, Farnoosh Hashemi, Adel Javanmard et al.2026 · 0 citationsarXiv
Theoretical Perspectives on Data Quality and Synergistic Effects in Pre- and Post-Training Reasoning Models2603.01293v1 · Adel Javanmard, Baharan Mirzasoleiman, Vahab Mirrokni2026 · 0 citationsarXiv
Memory Caching: RNNs with Growing Memory2602.24281v1 · Ali Behrouz, Zeman Li, Yuan Deng et al.2026 · 0 citationsarXiv
Aletheia tackles FirstProof autonomously2602.21201v3 · Tony Feng, Junehyuk Jung, Sang-hyun Kim et al.2026 · 0 citationsarXiv
Less is More: Convergence Benefits of Fewer Data Weight Updates over Longer Horizon2602.19510v1 · Rudrajit Das, Neel Patel, Meisam Razaviyayn et al.2026 · 0 citationsarXiv
Accelerating Scientific Research with Gemini: Case Studies and Common Techniques2602.03837v3 · David P. Woodruff, Vincent Cohen-Addad, Lalit Jain et al.2026 · 4 citationsarXiv
ECO: Quantized Training without Full-Precision Master Weights2601.22101v1 · Mahdi Nikdan, Amir Zandieh, Dan Alistarh et al.2026 · 0 citationsarXiv
Nested Learning: The Illusion of Deep Learning Architectures2512.24695v1 · Ali Behrouz, Meisam Razaviyayn, Peilin Zhong et al.2025 · 12 citationsarXiv
MS-SSM: A Multi-Scale State Space Model for Efficient Sequence Modeling2512.23824v1 · Mahdi Karami, Ali Behrouz, Peilin Zhong et al.2025 · 0 citationsarXiv
Trellis: Learning to Compress Key-Value Memory in Attention Models2512.23852v1 · Mahdi Karami, Ali Behrouz, Praneeth Kacham et al.2025 · 0 citationsarXiv
Sampling and Loss Weights in Multi-Domain Training2511.06913v1 · Mahdi Salmani, Pratik Worah, Meisam Razaviyayn et al.2025 · 0 citationsarXiv
TNT: Improving Chunkwise Training for Test-Time Memorization2511.07343v1 · Zeman Li, Ali Behrouz, Yuan Deng et al.2025 · 0 citationsarXiv
Understanding the Role of Training Data in Test-Time Scaling2510.03605v2 · Adel Javanmard, Baharan Mirzasoleiman, Vahab Mirrokni2025 · 0 citationsarXiv
Data Selection for Fine-tuning Vision Language Models via Cross Modal Alignment Trajectories2510.01454v1 · Nilay Naharas, Dang Nguyen, Nesihan Bulut et al.2025 · 0 citationsarXiv
Differentially Private Synthetic Data Release for Topics API Outputs2506.23855v1 · Travis Dick, Alessandro Epasto, Adel Javanmard et al.2025 · 0 citationsarXiv
Private Training & Data Generation by Clustering Embeddings2506.16661v1 · Felix Zhou, Samson Zhou, Vahab Mirrokni et al.2025 · 0 citationsarXiv
Position Auctions in AI-Generated Content2506.03309v1 · Santiago Balseiro, Kshipra Bhawalkar, Yuan Deng et al.2025 · 1 citationarXiv
ATLAS: Learning to Optimally Memorize the Context at Test Time2505.23735v1 · Ali Behrouz, Zeman Li, Praneeth Kacham et al.2025 · 0 citationsarXiv
Efficient Data Selection at Scale via Influence Distillation2505.19051v1 · Mahdi Nikdan, Vincent Cohen-Addad, Dan Alistarh et al.2025 · 0 citationsarXiv
Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing2505.15195v1 · Adel Javanmard, Rudrajit Das, Alessandro Epasto et al.2025 · 0 citationsarXiv
TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate2504.19874v1 · Amir Zandieh, Majid Daliri, Majid Hadian et al.2025 · 0 citationsarXiv
Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures2504.18394v2 · Alina Ene, Alessandro Epasto, Vahab Mirrokni et al.2025 · 0 citationsarXiv
Load Balancing with Network Latencies via Distributed Gradient Descent2504.10693v1 · Santiago R. Balseiro, Vahab S. Mirrokni, Bartek Wydrowski2025 · 0 citationsarXiv
Lattice: Learning to Efficiently Compress the Memory2504.05646v2 · Mahdi Karami, Razvan Pascanu, Vahab Mirrokni2025 · 0 citationsarXiv
Gemma 3 Technical Report2503.19786v1 · Gemma Team: Aishwarya Kamath, Johan Ferret, Shreya Pathak et al.2025 · 72 citationsarXiv
Synthetic Text Generation for Training Large Language Models via Gradient Matching2502.17607v2 · Dang Nguyen, Zeman Li, Mohammadhossein Bateni et al.2025 · 2 citationsarXiv
DeepCrossAttention: Supercharging Transformer Residual Connections2502.06785v2 · Mike Heddes, Adel Javanmard, Kyriakos Axiotis et al.2025 · 0 citationsarXiv
PolarQuant: Quantizing KV Caches with Polar Transformation2502.02617v1 · Insu Han, Praneeth Kacham, Amin Karbasi et al.2025 · 0 citationsarXiv
Titans: Learning to Memorize at Test Time2501.00663v1 · Ali Behrouz, Peilin Zhong, Vahab Mirrokni2024 · 23 citationsarXiv
Distributed Load Balancing with Workload-Dependent Service Rates2411.17103v3 · Wenxin Zhang, Santiago R. Balseiro, Robert Kleinberg et al.2024 · 0 citationsarXiv
Career total: 498 works. 192 are in this corpus.Showing the 50 most recent.

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