[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-new-algorithm-finds-the-best-option-using-only-one-bit":10,"sections":35},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":30,"feedback":34,"feedback_at":22,"cost_usd":34,"total_tokens":34},10012,"new-algorithm-finds-the-best-option-using-only-one-bit","New Algorithm Finds the Best Option Using Only One Bit","A new paper shows best-arm identification stays near-optimal even when each round yields only a single bit of feedback instead of the full reward.","A new algorithm can still crown the best option in a multi-armed bandit test even when every round of feedback is reduced to a single bit.\n\nThe setup: a learner repeatedly picks an arm and a query set, then gets back only a yes-or-no signal on whether the sampled reward landed inside that set - never the reward itself. Researchers built a 1-bit mean-estimation method using randomized threshold queries, since ordinary averaging is impossible without seeing actual values. They then used it in two algorithms: a simple fixed-clipping version with an anytime accuracy guarantee, and a phased adaptive-clipping version that tightens its queries as it narrows down the answer, achieving better sample efficiency. The team also proved a matching lower bound for any number of arms, showing that a logarithmic efficiency penalty from this extreme feedback limit is unavoidable, not just a gap in their method.\n\nThis matters because most bandit algorithms - the ones behind A\u002FB tests, ad auctions, and clinical trial designs - assume you can measure the actual outcome. Here, the result quantifies exactly what you give up when you can't: systems limited by privacy rules, coarse sensors, or bandwidth can still find the best option, just slower, and now there's a precise number for how much slower.\n\nIt is an elegant proof, not a product: the gains are measured in asymptotic log terms, and there is no mention of the algorithm surviving contact with a real dataset.","[\"multi-armed-bandits\",\"best-arm-identification\",\"bandit-algorithms\",\"machine-learning-theory\"]","2026-10-05T04:00:00.000Z","2026-10-05T18:10:40.515Z","2026-10-05T18:10:46.985Z","published",null,[],"ai",[26,27,28,29],"multi-armed-bandits","best-arm-identification","bandit-algorithms","machine-learning-theory",[31],{"name":32,"url":33},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2610.02771",0,{"sections":36},[37,40,44,49,54,59,63,68,72,76,81,86,91,96],{"name":38,"slug":24,"count":39,"latest_published_at":18},"AI",6233,{"name":41,"slug":42,"count":43,"latest_published_at":18},"Security","security",868,{"name":45,"slug":46,"count":47,"latest_published_at":48},"Policy","policy",444,"2026-10-03T15:02:01.000Z",{"name":50,"slug":51,"count":52,"latest_published_at":53},"Deals","deals",323,"2026-10-04T13:00:00.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":58},"Hardware","hardware",204,"2026-10-03T14:50:50.000Z",{"name":60,"slug":61,"count":62,"latest_published_at":18},"Science","science",177,{"name":64,"slug":65,"count":66,"latest_published_at":67},"Consumer Tech","consumer-tech",158,"2026-10-03T03:21:12.000Z",{"name":69,"slug":70,"count":71,"latest_published_at":18},"Dev Tools","dev-tools",97,{"name":73,"slug":74,"count":71,"latest_published_at":75},"Software","software","2026-10-04T10:00:00.000Z",{"name":77,"slug":78,"count":79,"latest_published_at":80},"Startups","startups",92,"2026-10-04T14:36:25.000Z",{"name":82,"slug":83,"count":84,"latest_published_at":85},"Gaming","gaming",53,"2026-10-02T02:50:39.000Z",{"name":87,"slug":88,"count":89,"latest_published_at":90},"General","general",51,"2026-10-05T02:35:01.000Z",{"name":92,"slug":93,"count":94,"latest_published_at":95},"Reviews","reviews",32,"2026-10-02T18:00:00.000Z",{"name":97,"slug":98,"count":99,"latest_published_at":100},"How-To","how-to",7,"2026-10-01T09:00:00.000Z"]